Welcome
Dr. Xingcai Zhang has worked at MIT/Harvard/Stanford/UC/WTeaO, with expertise in Machine-learning/Microfluidics-mediated Mimetic Material/Medicine/Monitoring (M6), around 30 Nature/Science/PNAS family papers, many top 0.1% highly cited and featured cover papers, 81+ h-index and 18000+ citations. Zhang has been a science writer/editor/advisory board member for American Association for the Advancement of Science (AAAS), Nature, Springer, American Chemical Society (ACS), Royal Society of Chemistry (RSC), and Wiley journals etc. Zhang received multiple international awards, given 100+ talks in top world institutes and hosted 100+ talks in top universities, and was reported by renowned news media 1000+ times. Zhang‘s teaching in the ChemE/NanoE/Mass Transfer class is in between every Tuesday/Thursday with after class hours. Zhang`s most recent award is the Royal Society of Chemistry Chemical Society Reviews Pioneering Investigator Award. Zhang is an Associate Editor of Nano Micro Letters (IF:36.3, the highest impact factor nanoengineering journal)
Contact: xiz292@ucsd.edu xingcai@nmlett.org drtea1@wteao.com 2253041387 wechat:drtea1
Selected Publication (H-index:81+, Citation: 18000+, Nature/Science family:~30 (including 15+ Corresponding)).
†: equal contribution; *: Corresponding.
27. W Peng, Y Du, L Cui, Y Xiao, L Li, L Yan, Y Gu, L Zhang, B Li, Z Wang, H Wang, X Dai, Y Teng, T Wang, B Zheng, X Zhang*. Bioorthogonal optimized virus immuno-nanomedicine (BOVIN). Nature Communications, 2025, 17, 301.
26. F Dai, S Yao, M Wang, Y Zhu, X Qiu, Q Sun, J Yin, G Shen, J Sun, M Wang, Y Wang, Z Yang, J Sang, X Wang, F Sun*, WCai*, X Zhang*, H Lu*. Improving AI Models for Rare Thyroid Cancer Subtype by Text Guided Diffusion Models. Nature Communications, 2025, 16, 4449.
25. S Koehler, Y Ling, S Yu, Y Zhang, J Luo, K Chen, J Luo, J Zeng, F Wang, W Li, D Li, X Yu, X Wu, S Zhao, H Lu, Z Deng, Z Yang, R Mai, Z Liu, X Huang, C Xing, W Zhang, H Chu, X Zhang, X Peng, Y Hu, G Yiming, Q Chen, H Yang, T Hermans, X Liao, X Qu, Z Niu, Y Qin. Fast, cost-effective and flexible DNA sequencing by roll-to-roll fluidics. Nature Methods, 2025, 22, 1662. (Featured cover paper)
24. S Zhang, Q Zhang, X Liu, S Zhang, J Yue, M Lu, H Xu, J Yao, X Wei, J Cao, X Zhang, M Gao, J Shen, Y Hao, X Zhang, P Zhang, S Cui, Y Wang, S Wu, G Wang. Training Foundation Model Like an Expert Radiologist Towards Open-World Medical Segmentation. Nature Biomedical Engineering, 2025, 16, 7866.
23. J Wang, J Feng, Y Kang, P Pan, J Ge, Y Wang, M Wang, Z Wu, X Zhang, J Yu, X Zhang, T Wang, L Wen, G Yan, Y Deng,H Shi, C-Y Hsieh, Z Jiang, T Hou. Discovery of novel antimicrobial peptides with notable antibacterial potency by a LLM-based foundation model. Science Advances, 2025, 11, ads8932. (ESI Top 1% highly cited paper)
22. M Yu, W Li, Y Yu, Y Zhao, L Xiao, V M Lauschke, Y Cheng*, X Zhang*, Y Wang*. Deep learning large-scale drug discovery and repurposing. Nature Computational Science, 2024, 4, 600. (Nature research briefing paper)
21. X Zhang*, Y Wang. AI-Recognized Mitochondrial Phenotype Enables Identification of Drug Targets. Nature Computational Science, 2024, 4, 563. (Invited highlight)
20. B Zheng, Q Li, Y Liu, X Cai, B Li, Z Wu, Y Bai, B Shen, S Cheng*, X Zhang*. Microorganism Microneedle Microengine Depth Drug Delivery. Nature Communications, 2024, 15, 8947.
19. X Li, Y Hu, X Zhang*, X Shi, W J Parak*, A Pich*. Transvascular transport of nanocarriers for tumor delivery. Nature Communications, 2024, 15, 8172.
18. T Li, N Yang*, Y Xiao, Y Liu, X Pan, S Wang, F Jiang, Z Zhang, X Zhang*. Virus detection light diffraction fingerprints forbiological applications. Science Advances, 2024, adl3466. (Featured cover paper)
17. H Lv, Y Yao, G Chen, Y Wang, L Rao, S Li, U I Kara, R L Dupont, C Zhang, B Chen, B Liu, X Zhou, R Wu, S Adera, R Che*, X Zhang*, X Wang*. Functional nanoporous graphene superlattice. Nature Communications, 2024, 15, 1295. (ESI Top 0.1% highly cited paper)
16. Z He, W Chen, K Hu, Y Luo, X He, T Li, J Ouyang, L Xie, Y Zhang, Q Xu, S Yang, M Guo, W Zou, Y Li, L Huang, N Kong, X Zhang, Q Saiding, M Zhang, X Song*, W Tao*. Resolvin D1 delivery to lesional macrophages using antioxidative black phosphorus nanosheets for atherosclerosis treatment. Nature Nanotechnology, 2024, 19, 1386. (ESI Top 1% highly cited paper)
15. Y Wang, G Zheng, N Jiang, G Ying, Y Li, X Cai, B Liu, J Meng, L Mai, M Guo, Y S Zhang, X Zhang*. Nature- inspired micropatterns. Nature Reviews Methods Primers, 2023, 3, 68. (Invited Featured paper, Hero Image Cover) (AI for materials/medicine)
14. Z Yang, D Gao, J Zhao, G Yang, M Guo, Y Wang, X Ren, J S Kim, L Jin, Z Tian, X Zhang*. Thermal Immuno- Nanomedicine in Cancer. Nature Reviews Clinical Oncology, 2023, 20, 116-134. (Featured cover paper, ESI Top 0.1% Highly Cited Paper) (AI for biomedicine)
13. B Wang, Y Li, M Zhou, Y Han, M Zhang, Z Gao, Z Liu, P Chen, W Du, X Zhang*, X Feng*, B Liu*. Smartphone- based platforms implementing microfluidic detection with image-based artificial intelligence. Nature Communications, 2023, 14, 1341. (News Release Paper, AI for biomedicine, ESI Top 1% highly cited paper)
12. X Huang†, N Kong†, X Zhang†, Y Cao*, R Langer*, W Tao*. The landscape of mRNA nanomedicine. Nature Medicine,2022, 28, 2237. (Featured article by Nature Medicine, collected in the Nature Portfolio Nobel Prize in Physiology or Medicine 2023 collection, Top 0.1% Hot Paper, Highly Cited Paper)
11. D Zhang, D Zhong, J Ouyang, J He, Y Qi, W Chen, X Zhang*, W Tao*, M Zhou*. Microalgae-based oral microcarriers for gut microbiota homeostasis and intestinal protection in cancer radiotherapy. Nature Communications, 2022, 13, 1413.(ESI Top 1% highly cited paper) (Nature materials for medicine)
10. Y Gu, C Wang, N Kim, J Zhang, T M Wang, J Stowe, R Nasiri, J Li, D Zhang, A Yang, L H H Hsu, X Dai, J Mu, Z Liu, M Lin, W Li, C Wang, H Gong, Y Chen, Y Lei, H Hu, Y Li, L Zhang, Z Huang, X Zhang, S Ahadian, P Banik, L Zhang, X Jiang, P J Burke, A Khademhosseini, A D McCulloch, S Xu* Three-dimensional transistor arrays for intra- and inter-cellular recording. Nature Nanotechnology, 2022,17, 232-300. (Featured cover paper, Highlighted paper)
9. X Huang, E Kon, X Han, X Zhang, N Kong, M J Mitchell*, D Peer*, W Tao*. Nanotechnology-based strategies againstSARS-CoV-2 variants. Nature Nanotechnology, 2022,17,1027. (Featured by Nature Nanotechnology, Highlighted in the Nature Portfolio "Progress towards the Sustainable Development Goals" Collection)
8. F Xu, C Qu, Q Lu, J Meng, X Zhang, X Xu, Y Qiu, B Ding, J Yang, F Cao, P Yang, G Jiang, S Kaskel, J Ma, L Li, X Zhang*, H Wang*. Atomic Sn–enabled high-utilization, large-capacity, and long-life Na anode. Science Advances, 2022, 8(19), eabm7489.
7. D Zhong, D Zhang, W Chen, J He, C Ren, X Zhang, M Zhou. Orally deliverable strategy based on microalgal biomass for intestinal disease treatment.Science Advances, 2021, 7, eabi9265.(Featured cover paper)
6. Y Yang, X Wei, N Zhang*, J Zheng, Q Wen, X Luo, C Lee, X Liu, X Zhang*, J Chen, C Tao, W Zhang*, X Fan*. Editor's highlighted top paper: A non-printed integrated-circuit textile for wireless theranostics. Nature Communications. 2021, 12, 4876. (Featured highlighted Paper, editor`s selection for top “Device” paper, Top 0.1% highly cited Hot Paper)
5. N Kong, H Zhang, C Feng, C Liu, Y Xiao, X Zhang, L Mei, JS Kim, W Tao, X Ji. Arsenene-mediated multiple independently targeted reactive oxygen species burst for cancer therapy. Nature Communications, 2021, 12(1), 4777. (Top 0.1% highly cited Hot Paper)
4. X Ji, L Ge, C Liu, Z Tang, Y Xiao, Z Lei, W Gao, S Blake, D De, X Zeng*, N Kong*, X Zhang*, W Tao*. Capturing functionaltwo-dimensional nanosheets from sandwich-structure vermiculite: synthesis and application in cancer theranostics. Nature Communications, 2021,12,1124. (Highlighted in Nature Bioengineering Community, Top 0.1% highly cited Hot Paper) (2D/Nature materials, traditional medicine modernization)
3. J Ouyang†, X Ji†, X Zhang†, C Feng, Z Tang, N Kong, A Xie, J Wang, X Sui, L Deng, Y Liu, J S Kim, Y Cao, W Tao*.In situ sprayed NIR-responsive, analgesic black phosphorus-based gel for diabetic ulcer treatment. PNAS, 2020, 117 (46), 28667-28677. (Web of Science Top 0.1% highly cited Hot Paper, Highlighted by: MRS)
2. Z Tang†, N Kong†, X Zhang†, Y Liu, P Hu, S Mou, P Liljeström, J Shi, W Tan, J S Kim, Y Cao, R Langer, K W Leong, O C Farokhzad,* W Tao*. A materials-science perspective on tackling COVID-19. Nature Reviews Materials, 2020, 5, 847-860. (Featured Cover Paper, accessed>40,000 times, Top 1% highly cited paper)
1. M S Chowdhury, W Zheng, S Kumari, J Heyman, X Zhang, P Dey, D Weitz, R Haag. Dendronized fluorosurfactant for highly stable water-in-fluorinated oil emulsions with minimal inter-droplet transfer of small molecules. Nature Communications, 2019, 10, 4546.
Dr. Zhang is a Chemical Society Reviews Pioneering Investigator Award Winner: Artificial intelligence-powered nanomedicine, Chemical Society Reviews, 2026, 55, 2070-2119. https://doi.org/10.1039/D5CS01406A.
Dr. Zhang is a Nanoscale 2022 Emerging Investigators Award Winner:Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis Nanoscale, 2021,13, 19352-19366.
Xingcai selected ai corresponding author papers:
1 Zhang, X., Wang, Y. AI-recognized mitochondrial phenotype enables identification of drug. targets. Nat. Comput. Sci. 4, 563–564 (2024).
2 Yu, M. et al. Deep learning large-scale drug discovery and repurposing. Nat. Comput. Sci. 4, 600–614 (2024).
3 Li, X. et al. Transvascular transport of nanocarriers for tumor delivery. Nat. Commun. 15, 8172 (2024).
4 Dai, F. et al. Improving AI models for rare thyroid cancer subtype by text-guided diffusion models. Nat. Commun. 16(1), 4449 (2025).
5 Zhang, S. et al. A generalist foundation model and database for open-world medical image segmentation. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-025-01497-3 (2025).
6 Wang, J. et al. Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model. Sci. Adv. 11, eads8932 (2025).
7 Yang, Z. et al. Thermal immuno-nanomedicine in cancer. Nat. Rev. Clin. Oncol. 20, 116–134 (2023).
8 Wang, Y. et al. Nature-inspired micropatterns. Nat. Rev. Method. Prime. 3, 68 (2023).
9 Wang, B. et al. Smart-phone-based platforms implementing microfluidic detection with image-based artificial intelligence. Nat. Commun. 14, 1341 (2023).
10 Yang, Y. et al. A non-printed integrated-circuit textile for wireless theranostics. Nat. Commun. 12, 4876 (2021).
11 Li, T. et al. Virus detection light diffraction fingerprints for biological applications. Sci. Adv. 10, eadl3466 (2024).
12 Yang, N. et al. Minimum minutes machine-learning microfluidic microbe monitoring. method (M7). ACS Nano18, 4862–4870 (2024).
13 Yang, N. et al. Deep-learning terahertz single-cell metabolic viability study. ACS Nano 17, 21383-21393 (2023).
14 Li, F. et al. Bioresource upgrade for sustainable energy, environment, and biomedicine. Nano-Micro Lett. 15, 35 (2023).
15 Cao, M. et al. Plant exosome nanovesicles (PENs): green delivery platforms. Mater. Horiz. 10, 3879-3894 (2023).
16 Li, M. et al. Functional antimicrobial peptide-loaded 3D scaffolds for infected bone defect treatment with AI and multidimensional printing. Mater. Horiz. 12, 20-36 (2025).
17 Hong, Y. et al. Parabiosis, Assembloids, Organoids (PAO). Adv. Sci. 12, e11671 (2025).
18 Liu, H. et al. Machine-learning mental-fatigue-measuring m-thick elastic epidermal. electronics (MMMEEE). Nano Lett. 24(51), 16221-16230 (2024).
19 Liu, L. et al. Artificial intelligence-powered microfluidics for nanomedicine and materials. synthesis. Nanoscale13, 19352-19366 (2021).
20 Wang, X. et al. Chip-based high-dimensional optical neural network. Nano-Micro Lett. 14, 221 (2022).
21 Bai, X., Zhang, X. Artificial intelligence-powered materials science. Nano-Micro Lett. 17, 135 (2025).
22 Luo, G. et al. Artificial intelligence-powered nanomedicine, Chem Soc Rev. 55, 2070-2119 (2026).
23 Yang, N. et al. Machine-learning Microfluidic Minute-scale Microorganism Metrics Monitoring(M6) Adv. Sci. DOI:10.1002/advs.202521106. Adv. Sci. (2026).
24 Xu Y. et. al. Long-Tea-CLIP: An Expert-Level Multimodal AI Framework for Fine-Grained Green Tea Grading Across Five Sensory Dimensions. Adv. Sci. DOI:10.1002/advs.202518235 (2026).