Min Xu

3.4k total citations · 1 hit paper
159 papers, 1.8k citations indexed

About

Min Xu is a scholar working on Structural Biology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Min Xu has authored 159 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Structural Biology, 37 papers in Molecular Biology and 33 papers in Artificial Intelligence. Recurrent topics in Min Xu's work include Advanced Electron Microscopy Techniques and Applications (48 papers), Semiconductor materials and devices (24 papers) and Electron and X-Ray Spectroscopy Techniques (22 papers). Min Xu is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (48 papers), Semiconductor materials and devices (24 papers) and Electron and X-Ray Spectroscopy Techniques (22 papers). Min Xu collaborates with scholars based in United States, China and Saudi Arabia. Min Xu's co-authors include Frank Alber, Xiangrui Zeng, Xianghong Jasmine Zhou, Martin Beck, Junde Wu, Ting Chen, Li Wang, Zhidong Tu, Fengzhu Sun and Bo Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Min Xu

144 papers receiving 1.8k citations

Hit Papers

Medical SAM adapter: Adapting segment anything model for ... 2025 2026 2025 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Min Xu United States 24 527 412 313 279 233 159 1.8k
Fa Zhang China 26 718 1.4× 363 0.9× 504 1.6× 226 0.8× 220 0.9× 219 2.4k
Thorsten Wagner Germany 16 891 1.7× 363 0.9× 53 0.2× 194 0.7× 167 0.7× 35 1.9k
I. García Spain 20 135 0.3× 198 0.5× 267 0.9× 84 0.3× 112 0.5× 121 1.6k
Chengliang Wang China 25 88 0.2× 109 0.3× 205 0.7× 352 1.3× 52 0.2× 156 1.8k
Norio Baba Japan 14 184 0.3× 90 0.2× 342 1.1× 84 0.3× 76 0.3× 104 958
Ullrich Köthe Germany 17 451 0.9× 100 0.2× 209 0.7× 36 0.1× 36 0.2× 39 1.6k
Bryant Gipson United States 13 294 0.6× 214 0.5× 76 0.2× 49 0.2× 86 0.4× 21 788
Yingke Xu China 23 515 1.0× 83 0.2× 58 0.2× 133 0.5× 21 0.1× 99 1.7k
Po‐Lin Chiu United States 20 381 0.7× 104 0.3× 38 0.1× 213 0.8× 64 0.3× 57 1.2k
Shihua Zhang China 36 2.6k 5.0× 41 0.1× 492 1.6× 526 1.9× 25 0.1× 192 5.1k

Countries citing papers authored by Min Xu

Since Specialization
Citations

This map shows the geographic impact of Min Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Min Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Xu more than expected).

Fields of papers citing papers by Min Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Min Xu. The network helps show where Min Xu may publish in the future.

Co-authorship network of co-authors of Min Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Xu. A scholar is included among the top collaborators of Min Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Xu. Min Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Peijian, Sheng Zhang, Min Xu, et al.. (2025). Bio-electro-Fenton systems in wastewater treatment: Research progress and prospects. Journal of Electroanalytical Chemistry. 981. 118959–118959. 6 indexed citations
2.
Wu, Bin, Liwen Ma, J. Cong, et al.. (2025). Multi-layer guided reinforcement learning task offloading based on Softmax policy in smart cities. Computer Communications. 235. 108105–108105.
3.
Xu, Min, et al.. (2024). Advancements of the Fluidized Bed Fenton (FBF) Technology for wastewater treatment: Mechanism, mass and heat transfer. Journal of Environmental Management. 362. 121325–121325. 4 indexed citations
4.
Xu, Zesheng, Tian Liu, Weihong Wang, et al.. (2024). Scalable production of robust and creep resistant ultra-high filled wood-plastic composites. Composites Part B Engineering. 289. 111937–111937. 6 indexed citations
5.
Huang, Hai, et al.. (2024). GaN monolithic digital units on P-GaN platform. Microelectronics Journal. 149. 106242–106242.
6.
Xie, Xinling, Qiang Wang, Penghao Zhang, et al.. (2024). Improved Vth Stability and Gate Reliability of GaN-Based MIS-HEMTs by Employing Alternating O2 Plasma Treatment. Nanomaterials. 14(6). 523–523. 3 indexed citations
8.
Liu, Tao, Dawei Wang, Min Xu, et al.. (2024). Fabrication of the low-k films with tunable k value as spacers in advanced CMOS technology. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 42(2). 2 indexed citations
9.
Wang, Qiang, Luyu Wang, Penghao Zhang, et al.. (2023). NH3/N2 plasma treatment on etched AlGaN surface for high-performance p-GaN HEMTs fabrication. Materials Science in Semiconductor Processing. 167. 107761–107761. 5 indexed citations
10.
Wang, Dawei, et al.. (2023). Investigation of Source/Drain Recess Engineering and Its Impacts on FinFET and GAA Nanosheet FET at 5 nm Node. Electronics. 12(3). 770–770. 13 indexed citations
11.
Zeng, Xiangrui, Anson Kahng, Liang Xue, et al.. (2023). High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering. Proceedings of the National Academy of Sciences. 120(15). e2213149120–e2213149120. 21 indexed citations
12.
Yang, Jingwen, Dawei Wang, Tao Liu, et al.. (2023). A Novel Scheme for Full Bottom Dielectric Isolation in Stacked Si Nanosheet Gate-All-Around Transistors. Micromachines. 14(6). 1107–1107. 5 indexed citations
13.
Lee, Che-Yu, Yuhang Chen, Ziheng Duan, et al.. (2022). Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Computational Biology. 18(10). e1010636–e1010636. 4 indexed citations
14.
Zhang, Jing, Jason Liu, Zixuan Zhang, et al.. (2021). SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments. Bioinformatics. 37(12). 1756–1758. 7 indexed citations
15.
Zhang, Baoyi, Kevin Yao, Min Xu, Jia Wu, & Chao Cheng. (2021). Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration. Cancers. 13(23). 6002–6002. 10 indexed citations
16.
Zeng, Xiangrui, et al.. (2020). PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms. 13(5). 126–126. 3 indexed citations
17.
Ren, Peng, et al.. (2018). Energy Minimization With One Dot Fuzzy Initialization for Marine Oil Spill Segmentation. IEEE Journal of Oceanic Engineering. 44(4). 1102–1115. 20 indexed citations
18.
Xu, Min. (2012). Research on Tag Code Plan for Mine Internet of Things Based on EPC GID-96. Coal science and technology. 1 indexed citations
19.
Zhang, Shihua, Daven Vasishtan, Min Xu, Maya Topf, & Frank Alber. (2010). A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps. Bioinformatics. 26(12). i261–i268. 20 indexed citations
20.
Xu, Min, Yunsheng Li, Guangming Zeng, & Jie Liang. (2009). Modeling Changes of Non-point Source Pollution Load for Watershed Using Bayesian Regularized BP Neural Network. Environmental Science & Technology. 32(11). 171–176. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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