Fa Zhang

3.9k total citations · 1 hit paper
219 papers, 2.4k citations indexed

About

Fa Zhang is a scholar working on Molecular Biology, Structural Biology and Computer Networks and Communications. According to data from OpenAlex, Fa Zhang has authored 219 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 52 papers in Structural Biology and 50 papers in Computer Networks and Communications. Recurrent topics in Fa Zhang's work include Advanced Electron Microscopy Techniques and Applications (52 papers), Electron and X-Ray Spectroscopy Techniques (39 papers) and Cloud Computing and Resource Management (37 papers). Fa Zhang is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (52 papers), Electron and X-Ray Spectroscopy Techniques (39 papers) and Cloud Computing and Resource Management (37 papers). Fa Zhang collaborates with scholars based in China, United States and Saudi Arabia. Fa Zhang's 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 and has published in prestigious journals such as Nature Communications, Nano Letters and Bioinformatics.

In The Last Decade

Fa Zhang

204 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

trRosettaRNA: automated prediction of RNA 3D structure with transformer network

2023 100 citations Chenjie Feng, Renmin Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fa Zhang China	26	718	504	503	439	364	219	2.4k
Shihua Zhang China	36	2.6k 3.7×	492 1.0×	163 0.3×	77 0.2×	39 0.1×	192	5.1k
I. García Spain	20	135 0.2×	267 0.5×	199 0.4×	28 0.1×	51 0.1×	121	1.6k
Yutong Lu China	31	972 1.4×	470 0.9×	537 1.1×	444 1.0×	74 0.2×	227	3.5k
Kun Chen China	28	489 0.7×	193 0.4×	131 0.3×	32 0.1×	109 0.3×	119	2.5k
Min Xu United States	24	527 0.7×	313 0.6×	16 0.0×	28 0.1×	92 0.3×	159	1.8k
Natalio Krasnogor United Kingdom	39	2.0k 2.8×	1.8k 3.7×	179 0.4×	125 0.3×	45 0.1×	163	4.8k
Zengyou He China	24	1.1k 1.6×	1.5k 2.9×	402 0.8×	357 0.8×	32 0.1×	94	3.1k
Tim Green United Kingdom	15	1.9k 2.6×	480 1.0×	61 0.1×	49 0.1×	171 0.5×	18	3.3k
Wen Chen China	41	304 0.4×	860 1.7×	87 0.2×	150 0.3×	118 0.3×	295	6.5k
Milind Bhandarkar United States	11	1.4k 1.9×	70 0.1×	424 0.8×	311 0.7×	44 0.1×	19	2.6k

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-authorship network of co-authors of Fa Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Zhang. A scholar is included among the top collaborators of Fa Zhang 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 Fa Zhang. Fa Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wan, Xiaohua, et al.. (2025). Enhancing Colorectal Lesion Segmentation Through Internal Feature Extraction and Computational Modeling Insights. IEEE Transactions on Computational Social Systems. 12(5). 3193–3205. 1 indexed citations

Lei, Xiujuan, et al.. (2024). Identification of circRNA‐disease associations via multi‐model fusion and ensemble learning. Journal of Cellular and Molecular Medicine. 28(7). e18180–e18180. 8 indexed citations

Xu, Wangshu, Zhiwei Rong, Wenping Ma, et al.. (2024). Improving the classification of multiple sclerosis and cerebral small vessel disease with interpretable transfer attention neural network. Computers in Biology and Medicine. 176. 108530–108530. 1 indexed citations

Lü, Fang, et al.. (2024). Comparison of single-chain variable fragments and monoclonal antibody against dihydroartemisinin. Journal of Immunological Methods. 532. 113728–113728. 1 indexed citations

Feng, Chenjie, et al.. (2024). FP-Zernike: An Open-source Structural Database Construction Toolkit for Fast Structure Retrieval. Genomics Proteomics & Bioinformatics. 22(1). 2 indexed citations

Zhu, Yanbing, Xiaohua Wan, Y. Zhang, et al.. (2024). Com-DNB: A novel method for identifying critical states of complex biological processes and its parallelization. 1–10.

Yang, Zhidong, Hongjia Li, Dawei Zang, Renmin Han, & Fa Zhang. (2024). Improved Denoising of Cryo-Electron Microscopy Micrographs with Simulation-Aware Pretraining. Journal of Computational Biology. 31(6). 564–575. 1 indexed citations

Wan, Xiaohua, Wenjing Zhang, Dehui Qiu, et al.. (2024). MSTCA-Net: A Novel Impervious Surface Extraction Method Based on a Multistage Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17945–17956.

Wan, Xiaohua, Dehui Qiu, Juan Zhang, et al.. (2024). A Novel Framework for Tongue Feature Extraction Framework Based on Sublingual Vein Segmentation. IEEE Transactions on NanoBioscience. 24(3). 269–279. 1 indexed citations

10.

Yang, Zhidong, et al.. (2023). MarkerDetector: A method for robust fiducial marker detection in electron micrographs using wavelet-based template. Journal of Structural Biology. 216(1). 108044–108044. 3 indexed citations

11.

Zhang, Fa, et al.. (2023). The functional roles of m6A modification in prostate cancer. PROTEOMICS - CLINICAL APPLICATIONS. 17(6). e2200108–e2200108. 3 indexed citations

12.

Li, Hongjia, Hui Zhang, Xiaohua Wan, et al.. (2022). Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer. Bioinformatics. 38(7). 2022–2029. 18 indexed citations

13.

Qiu, Dehui, Xinyue Zhang, Xiaohua Wan, et al.. (2022). A novel tongue feature extraction method on mobile devices. Biomedical Signal Processing and Control. 80. 104271–104271. 13 indexed citations

14.

Li, Hongjia, et al.. (2022). A Transfer Learning-Based Classification Model for Particle Pruning in Cryo-Electron Microscopy. Journal of Computational Biology. 29(10). 1117–1131.

15.

Hu, Wanming, R. Lambo, Zhicheng Zhang, et al.. (2021). Weakly Supervised Framework for Cancer Region Detection of Hepatocellular Carcinoma in Whole-Slide Pathologic Images Based on Multiscale Attention Convolutional Neural Network. American Journal Of Pathology. 192(3). 553–563. 16 indexed citations

16.

Zhang, Enze, Boheng Zhang, Shaohan Hu, et al.. (2021). Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks. BMC Bioinformatics. 22(S3). 327–327. 2 indexed citations

17.

Cai, Zhonglin, et al.. (2021). A new nomogram for the prediction of bone metastasis in patients with prostate cancer. Journal of International Medical Research. 49(11). 3619119292–3619119292. 6 indexed citations

18.

Wu, Zhongke, Yi‐Cheng Zhu, Xinyu Liu, et al.. (2020). A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field. IEEE Transactions on NanoBioscience. 19(3). 538–546. 5 indexed citations

19.

Liu, Wei, Shufeng Wang, Hongjia Li, et al.. (2020). Super-resolution nanoscopy by coherent control on nanoparticle emission. Science Advances. 6(16). eaaw6579–eaaw6579. 13 indexed citations

20.

Zhang, Fa. (2015). Application of contrast-enhanced ultrasound in diagnosis of renal occupied lesions. Shandong yiyao.

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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