Haiping Zhang

3.9k total citations
155 papers, 2.1k citations indexed

About

Haiping Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haiping Zhang has authored 155 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haiping Zhang's work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers) and Spinal Fractures and Fixation Techniques (9 papers). Haiping Zhang is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers) and Spinal Fractures and Fixation Techniques (9 papers). Haiping Zhang collaborates with scholars based in China, United States and India. Haiping Zhang's co-authors include Konda Mani Saravanan, Yanjie Wei, Yi Pan, Xuli Wu, Linbu Liao, Weiyi He, Yang Yang, Ming Xu, Yao Li and Junxin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Haiping Zhang

144 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiping Zhang China 26 725 308 196 181 166 155 2.1k
Huimin Guo China 27 762 1.1× 193 0.6× 159 0.8× 125 0.7× 122 0.7× 133 2.8k
Xiao Li China 30 736 1.0× 539 1.8× 116 0.6× 136 0.8× 134 0.8× 169 2.8k
Stefan Krämer Germany 22 1.0k 1.4× 413 1.3× 201 1.0× 83 0.5× 374 2.3× 70 2.3k
Kai Zheng China 32 1.4k 2.0× 88 0.3× 143 0.7× 134 0.7× 115 0.7× 195 3.6k
Sebastian Hoffmann Germany 34 601 0.8× 282 0.9× 328 1.7× 121 0.7× 41 0.2× 165 4.3k
Horacio Pérez‐Sánchez Spain 34 1.8k 2.5× 954 3.1× 150 0.8× 409 2.3× 159 1.0× 219 4.2k
Jianwen Chen China 35 2.0k 2.7× 189 0.6× 186 0.9× 91 0.5× 340 2.0× 148 4.0k
Jianhua Huang China 31 1.4k 1.9× 163 0.5× 222 1.1× 67 0.4× 328 2.0× 160 3.4k
François Vallée Belgium 36 989 1.4× 140 0.5× 82 0.4× 245 1.4× 152 0.9× 209 4.3k
Lichuan Liu United States 26 362 0.5× 81 0.3× 206 1.1× 56 0.3× 70 0.4× 109 2.1k

Countries citing papers authored by Haiping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Haiping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Zhang. A scholar is included among the top collaborators of Haiping 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 Haiping Zhang. Haiping 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.
Zhang, Yanchen, Haiping Zhang, Maowen Liu, et al.. (2025). Excellent thermal resistance and high electrical conductivity of Al wire sintered from powders. Materials Science and Engineering A. 946. 149098–149098.
2.
Zhang, Haiping, Hao Long, Fanghuai Chen, et al.. (2025). Temperature gradient model of PC beams with corrugated steel webs in China using random forest algorithm and 50 years meteorological monitoring data. Structures. 80. 109781–109781. 2 indexed citations
3.
Zhang, Haiping, Hao Long, Fanghuai Chen, et al.. (2024). Temperature field prediction for a PC beam bridge with corrugated steel webs using BP neural network and measured data. Structures. 68. 107232–107232. 8 indexed citations
4.
Saravanan, Konda Mani, et al.. (2024). A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity. Methods. 226. 164–175. 5 indexed citations
5.
Zhang, Haiping, Hongjie Fan, Jixia Wang, et al.. (2024). Revolutionizing GPCR–ligand predictions: DeepGPCR with experimental validation for high-precision drug discovery. Briefings in Bioinformatics. 25(4). 5. 9 indexed citations
6.
Lu, Zhen, Wei Xia, Yi Pan, et al.. (2024). Small-Molecule Inhibitors of TIPE3 Protein Identified through Deep Learning Suppress Cancer Cell Growth In Vitro. Cells. 13(9). 771–771. 1 indexed citations
7.
Chen, Fanghuai, Qiang Liu, Yuan Luo, et al.. (2024). Fatigue reliability assessment of rib-to-deck double-sided welded joints in orthotropic steel decks considering welding residual stress. Scientific Reports. 14(1). 31418–31418. 1 indexed citations
8.
Zhang, Haiping & Konda Mani Saravanan. (2024). Advances in Deep Learning Assisted Drug Discovery Methods: A Self-review. Current Bioinformatics. 19(10). 891–907. 3 indexed citations
9.
Chen, Yu, Haiyan Wang, Haiping Zhang, et al.. (2023). Nuclear cGAS restricts L1 retrotransposition by promoting TRIM41-mediated ORF2p ubiquitination and degradation. Nature Communications. 14(1). 8217–8217. 25 indexed citations
10.
Zhang, Haiping, Konda Mani Saravanan, & John Z. H. Zhang. (2023). DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein–Ligand Interaction Prediction. Molecules. 28(12). 4691–4691. 12 indexed citations
11.
Zhang, Huiling, Zhendong Bei, Wenhui Xi, et al.. (2021). Evaluation of residue-residue contact prediction methods: From retrospective to prospective. PLoS Computational Biology. 17(5). e1009027–e1009027. 19 indexed citations
12.
Saravanan, Konda Mani, Haiping Zhang, & Yanjie Wei. (2020). Identifying Native and Non-native Membrane Protein Loops by Using Stabilizing Energetic Terms of Three Popular Force Fields. 1(1). 14–21. 3 indexed citations
13.
Yang, Jun-Song, Peng Liu, Tuan-Jiang Liu, et al.. (2020). Posterior Ligament–Bone Injury Classification and Severity Score. Spine. 46(4). 209–215. 2 indexed citations
14.
Zhang, Haiping, et al.. (2020). DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. PeerJ. 8. e8864–e8864. 15 indexed citations
15.
Saravanan, Konda Mani, et al.. (2020). Structural basis for the inhibition of SARS-CoV2 main protease by Indian medicinal plant-derived antiviral compounds. Journal of Biomolecular Structure and Dynamics. 40(5). 1970–1978. 30 indexed citations
16.
Zhang, Haiping, Linbu Liao, Konda Mani Saravanan, Peng Yin, & Yanjie Wei. (2019). DeepBindRG: a deep learning based method for estimating effective protein–ligand affinity. PeerJ. 7. e7362–e7362. 70 indexed citations
17.
Yang, Bei, Haiping Zhang, & Hao Wang. (2015). Atomistic insights into the lung cancer-associated L755P mutation in HER2 resistance to lapatinib: a molecular dynamics study. Journal of Molecular Modeling. 21(2). 24–24. 11 indexed citations
18.
Zhang, Haiping. (2012). Research on inverter fault diagnosis of brushless DC motor.
19.
Zhang, Haiping, et al.. (2012). Realization of RF Section of OBU in ETC System. 1073–1076. 1 indexed citations
20.
Zhang, Haiping. (2012). Research on Inverter Fault Diagnosis. 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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