Fuhao Zhang

1.5k total citations
43 papers, 931 citations indexed

About

Fuhao Zhang is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Fuhao Zhang has authored 43 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Materials Chemistry and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Fuhao Zhang's work include Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (7 papers). Fuhao Zhang is often cited by papers focused on Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (7 papers). Fuhao Zhang collaborates with scholars based in China, United States and Canada. Fuhao Zhang's co-authors include Min Li, Min Zeng, Fang‐Xiang Wu, Yaohang Li, Jianxin Wang, Chengqian Lu, Lukasz Kurgan, Hong Song, Yi Pan and Yiming Li and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Fuhao Zhang

38 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuhao Zhang China 16 611 211 161 106 60 43 931
Li Wen China 18 412 0.7× 115 0.5× 81 0.5× 167 1.6× 58 1.0× 43 865
Guohua Huang China 19 575 0.9× 76 0.4× 86 0.5× 311 2.9× 8 0.1× 87 1.0k
Song Li China 14 452 0.7× 40 0.2× 32 0.2× 49 0.5× 46 0.8× 56 864
Xiaoyan Fei China 14 171 0.3× 115 0.5× 9 0.1× 192 1.8× 25 0.4× 32 601
Jaemin Shin South Korea 11 140 0.2× 34 0.2× 135 0.8× 144 1.4× 10 0.2× 47 570
Qiming Wang China 12 341 0.6× 50 0.2× 10 0.1× 33 0.3× 23 0.4× 79 820
Liang Lv China 15 114 0.2× 42 0.2× 34 0.2× 38 0.4× 31 0.5× 65 572
Chensi Cao China 7 117 0.2× 12 0.1× 38 0.2× 127 1.2× 50 0.8× 8 575
Fengsheng Wang China 8 152 0.2× 26 0.1× 16 0.1× 56 0.5× 19 0.3× 23 362
Mengting Niu China 12 376 0.6× 182 0.9× 42 0.3× 41 0.4× 5 0.1× 22 491

Countries citing papers authored by Fuhao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Fuhao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuhao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuhao Zhang. A scholar is included among the top collaborators of Fuhao 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 Fuhao Zhang. Fuhao Zhang 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.
Li, Xuesong, et al.. (2025). Three-dimensional tomographic reconstruction for gaseous fuel jets based on background oriented schlieren technique. Journal of the Energy Institute. 120. 102118–102118. 1 indexed citations
2.
Zhang, Fuhao, et al.. (2025). Neural dynamic fluid reconstruction technique for four-dimensional imaging of combustion flame based on deep learning. Engineering Applications of Artificial Intelligence. 161. 112288–112288.
3.
Sun, Chun, et al.. (2024). Efficient solid-state photoluminescence based on sodium citrate and CsPbI3 quantum dots. Journal of Alloys and Compounds. 1003. 175607–175607. 2 indexed citations
4.
Zhang, Fuhao, et al.. (2024). A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches. Briefings in Bioinformatics. 25(2). 4 indexed citations
5.
Zhang, Fuhao & Lukasz Kurgan. (2024). Evaluation of predictions of disordered binding regions in the CAID2 experiment. Computational and Structural Biotechnology Journal. 27. 78–88.
6.
Zhang, Jian, Sushmita Basu, Fuhao Zhang, & Lukasz Kurgan. (2024). MERIT: Accurate Prediction of Multi Ligand-binding Residues with Hybrid Deep Transformer Network, Evolutionary Couplings and Transfer Learning. Journal of Molecular Biology. 437(15). 168872–168872. 2 indexed citations
7.
Sun, Chun, Xiaoyu Zhang, Yiwei Zhao, et al.. (2023). Corrosion-induced growth control of lead halide perovskite nanoparticles. Chemical Engineering Journal. 479. 147989–147989. 6 indexed citations
8.
Zhang, Fuhao, et al.. (2023). 2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction. Aerospace Science and Technology. 142. 108593–108593. 5 indexed citations
9.
Lei, Hao, Ashraf Y. Elnaggar, Salah M. El‐Bahy, et al.. (2023). Improving water resistance and mechanical properties of waterborne acrylic resin modified by octafluoropentyl methacrylate. Journal of Materials Science. 58(3). 1452–1464. 14 indexed citations
10.
Zhang, Fuhao, et al.. (2023). Voxel-free neural volume reconstruction technique for volumetric flame reconstructions. Aerospace Science and Technology. 133. 108107–108107. 10 indexed citations
11.
Zhang, Fuhao, Min Li, Jian Zhang, & Lukasz Kurgan. (2023). HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins. Nucleic Acids Research. 51(5). e25–e25. 16 indexed citations
12.
Wang, Dingchen, Li Pei, Jingjing Zheng, et al.. (2023). O-band BDFA achieves 24 dB ultra-wideband signal range effective gain clamping with a maximum float of 0.42 dB. Journal of the Optical Society of America B. 40(11). 2782–2782.
13.
Wang, Dingchen, Li Pei, Jingjing Zheng, et al.. (2023). Comparative experimental study on gain clamping performance of O-band BDFA with different pump schemes at different input powers. Optics & Laser Technology. 171. 110340–110340. 3 indexed citations
14.
Zhang, Fuhao, et al.. (2023). DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-Annotated Protein Binding Residues. Journal of Molecular Biology. 435(14). 167945–167945. 7 indexed citations
15.
Zhang, Fuhao, Junxiang Wang, Qian Shao, et al.. (2022). Waterborne acrylic resin co-modified by itaconic acid and γ-methacryloxypropyl triisopropoxidesilane for improved mechanical properties, thermal stability, and corrosion resistance. Progress in Organic Coatings. 168. 106875–106875. 58 indexed citations
16.
Zeng, Min, et al.. (2021). DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings in Bioinformatics. 23(1). 65 indexed citations
17.
Zeng, Min, Chengqian Lu, Fuhao Zhang, et al.. (2020). SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning. Methods. 179. 73–80. 75 indexed citations
18.
Zeng, Min, Fuhao Zhang, Fang‐Xiang Wu, et al.. (2019). Protein–protein interaction site prediction through combining local and global features with deep neural networks. Bioinformatics. 36(4). 1114–1120. 184 indexed citations
19.
Liu, Liangliang, Shaowu Chen, Fuhao Zhang, et al.. (2019). Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Computing and Applications. 32(11). 6545–6558. 70 indexed citations
20.
Li, Cuiqin, Fuhao Zhang, Laping He, et al.. (2017). Effects of organic solvent, water activity, and salt hydrate pair on the sn-1,3 selectivity and activity of whole-cell lipase from Aspergillus niger GZUF36. Applied Microbiology and Biotechnology. 102(1). 225–235. 20 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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