Xiaogen Zhou

3.1k citations
82 papers · 1.9k indexed · 1 hit paper · h-index 24

Xiaogen Zhou

77 papers receiving 1.9k citations

Hit Papers

I-TASSER-MTD: a deep-learning-based platform for multi-do...297202220262023202450100150200250

Peers

Xiaogen Zhou
Comparison fields: 5 of 143
  • Structural Biology 51
  • Computational Theory and Mathematics 264
  • Molecular Biology 1.1k
  • Health Informatics 16
  • Infectious Diseases 186
Replace Arvind Ramanathan with:
Arvind Ramanathan United States
Lars Malmström Sweden
Jaap Heringa Netherlands
Marc Thilo Figge Germany
Xiaojun Xu China
Renzhi Cao United States
Minkyung Baek United States
Norman E. Davey United Kingdom
Brian Hie United States
Xiaogen Zhou relative to Arvind Ramanathan United States Arvind Ramanathan's profile →
Citations per field
00.5×6.4×
Arvind Ramanathan · 1×
Citations per year

Countries citing papers authored by Xiaogen Zhou

Since Specialization
Citations

This map shows the geographic impact of Xiaogen Zhou'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 Xiaogen Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogen Zhou more than expected).

Fields of papers citing papers by Xiaogen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaogen Zhou. 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 Xiaogen Zhou. The network helps show where Xiaogen Zhou may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xiaogen Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaogen Zhou Line = papers co-authored together Xiaogen Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202518
4 20250
5 20242
6 202313
7 20237
8 202217
9 202230
10 20221
11 20219
12 202159
13 202123
14 20218
15 20214
16 202144
17 2020202
18 201913
19
A Hybrid Process Design Kit: Towards Integrating CMOS and III-V Devices
20161
20
Loss of Fhit is frequent in stage I non-small cell lung cancer and in the lungs of chronic smokers.
199980

About Xiaogen Zhou

Xiaogen Zhou is a scholar working on Structural Biology, Health Informatics, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (30 papers), Machine Learning in Bioinformatics (21 papers), RNA and protein synthesis mechanisms (18 papers), Enzyme Structure and Function (16 papers), Genomics and Phylogenetic Studies (9 papers), Evolutionary Algorithms and Applications (8 papers), AI in cancer detection (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Structural Biology (51 citations), Computational Theory and Mathematics (264 citations), Molecular Biology (1.1k citations), Health Informatics (16 citations) and Infectious Diseases (186 citations). Xiaogen Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guijun Zhang, Yang Zhang, Wei Zheng, Chengxin Zhang, Eric W. Bell, Yang Li, Robin Pearce, Xiaoqiang Huang, Jun Hu and Dong‐Jun Yu. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics, Briefings in Bioinformatics, Nucleic Acids Research and Nature Communications.

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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