Fa Zhang

3.9k citations
219 papers · 2.4k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Fa Zhang

204 papers receiving 2.4k citations

Hit Papers

trRosettaRNA: automated prediction of RNA 3D structure with transformer network 2023 · 100 citations
1002023202620242025255075100

Peers

Fa Zhang
Comparison fields: 5 of 170
  • Structural Biology 363
  • Surfaces, Coatings and Films 220
  • Biophysics 150
  • Computer Networks and Communications 503
  • Information Systems 439
Replace I. García with:
I. García Spain
Min Xu United States
R. Srinivasan United States
Jianyang Zeng China
Shihua Zhang China
Wen Chen China
Wei Ouyang China
Kun Chen China
Daniel Haas United States
Tim Green United Kingdom
Fa Zhang relative to I. García Spain I. García's profile →
Citations per field
00.5×10×15.7×
I. García · 1×
Citations per year

Countries citing papers authored by Fa Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fa Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fa Zhang, 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 Fa Zhang Line = papers co-authored together Fa Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019242
2
trRosettaRNA: automated prediction of RNA 3D structure with transformer network
Hit paper breakdown →
2023100
3 201461
4 200958
5 201654
6 201954
7 201451
8 202150
9 201546
10 202146
11 201845
12 202044
13 201842
14 201139
15 202038
16 201537
17 201937
18 202235
19 200334
20 202032

About Fa Zhang

Fa Zhang is a scholar working on Structural Biology, Surfaces, Coatings and Films, Biophysics, Computer Networks and Communications and Information Systems, having authored 219 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (52 papers), Electron and X-Ray Spectroscopy Techniques (39 papers), Cloud Computing and Resource Management (37 papers), Software-Defined Networks and 5G (24 papers), IoT and Edge/Fog Computing (19 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), RNA modifications and cancer (13 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Structural Biology (363 citations), Surfaces, Coatings and Films (220 citations), Biophysics (150 citations), Computer Networks and Communications (503 citations) and Information Systems (439 citations). Fa Zhang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xiaogang Li, Renmin Han, Rui Yan, Xiaohua Wan, Fei Ren, Fei Sun, Chun-Hou Zheng, Xiaosong Rao, Lin Wang and Zihao Wang. Their work appears in journals such as Journal of Structural Biology, Bioinformatics, Nature Communications, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of Computational Biology.

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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