Tiangang Zhang

2.8k total citations · 1 hit paper
105 papers, 2.1k citations indexed

About

Tiangang Zhang is a scholar working on Molecular Biology, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Tiangang Zhang has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 31 papers in Mechanical Engineering and 30 papers in Computational Theory and Mathematics. Recurrent topics in Tiangang Zhang's work include Computational Drug Discovery Methods (30 papers), Bioinformatics and Genomic Networks (26 papers) and Cancer-related molecular mechanisms research (22 papers). Tiangang Zhang is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Bioinformatics and Genomic Networks (26 papers) and Cancer-related molecular mechanisms research (22 papers). Tiangang Zhang collaborates with scholars based in China, Australia and Japan. Tiangang Zhang's co-authors include Ping Xuan, Yanan Liu, Zhiqiang Zhang, Ronglu Sun, Lijun Yang, Hui Cui, Ye Ding, Nan Sheng, Toshiya Nakaguchi and Yilin Ye and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Materials Science and Engineering A.

In The Last Decade

Tiangang Zhang

99 papers receiving 2.0k citations

Hit Papers

Research and progress of laser cladding on engineering al... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiangang Zhang China 23 790 751 418 383 356 105 2.1k
Shaohua Guo China 21 199 0.3× 262 0.3× 93 0.2× 12 0.0× 128 0.4× 93 1.5k
Menghua Zhang China 27 748 0.9× 68 0.1× 18 0.0× 35 0.1× 144 0.4× 108 2.1k
Shuang Su China 15 272 0.3× 238 0.3× 114 0.3× 12 0.0× 103 0.3× 49 862
Yanjie Liu China 17 247 0.3× 201 0.3× 17 0.0× 13 0.0× 186 0.5× 163 1.3k
Ji Zhang China 16 88 0.1× 209 0.3× 71 0.2× 13 0.0× 328 0.9× 94 1.2k
Yingwen Liu China 23 1.2k 1.5× 58 0.1× 10 0.0× 41 0.1× 171 0.5× 192 2.0k
Xinghua Li China 19 182 0.2× 168 0.2× 56 0.1× 7 0.0× 173 0.5× 113 1.7k
Guo‐Yang Li China 22 173 0.2× 150 0.2× 80 0.2× 8 0.0× 75 0.2× 87 1.5k
Chung‐Cheng Chen Taiwan 18 180 0.2× 118 0.2× 35 0.1× 41 0.1× 71 0.2× 99 1.3k

Countries citing papers authored by Tiangang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tiangang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiangang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiangang Zhang. A scholar is included among the top collaborators of Tiangang 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 Tiangang Zhang. Tiangang 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.
Gu, Jing, Tiangang Zhang, Sentao Chen, et al.. (2025). Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. Journal of Chemical Information and Modeling. 65(1). 435–445. 2 indexed citations
2.
Xuan, Ping, Xiaoying Qi, Sentao Chen, et al.. (2025). Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. Journal of Chemical Information and Modeling. 65(3). 1631–1640. 1 indexed citations
3.
Zhang, Tiangang, Hanfeng Song, Bingchen Li, et al.. (2025). Concentration dependence of the retarding effect on tungsten recrystallization under high-dose helium ion implantation. Nuclear Fusion. 65(4). 46017–46017. 1 indexed citations
4.
Chen, Dongliang, Tiangang Zhang, Hui Cui, Jing Gu, & Ping Xuan. (2025). KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction. Journal of Chemical Information and Modeling. 65(9). 4714–4728. 1 indexed citations
6.
Xuan, Ping, et al.. (2025). Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects. Journal of Chemical Information and Modeling. 65(10). 5124–5138. 2 indexed citations
7.
Zhang, Zhiqiang, et al.. (2024). Heat and mass transfer behavior in CMT plus pulse arc manufacturing. International Journal of Mechanical Sciences. 281. 109638–109638. 15 indexed citations
8.
Xuan, Ping, et al.. (2024). Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. Journal of Chemical Information and Modeling. 64(19). 7806–7815. 2 indexed citations
9.
Xie, Weiqiang, Qi Zhao, Zhongxian Liu, et al.. (2024). Yttria containing silicon carbide fibers with high temperature and oxidation resistance. Materials Science and Engineering B. 303. 117260–117260. 2 indexed citations
10.
Zhang, Tiangang, et al.. (2024). Environmental impact analysis of lithium iron phosphate batteries for energy storage in China. Frontiers in Energy Research. 12. 6 indexed citations
11.
Xuan, Ping, Siyuan Lu, Hui Cui, et al.. (2024). Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. Journal of Chemical Information and Modeling. 64(8). 3569–3578. 6 indexed citations
12.
Wang, Changhao, et al.. (2024). Effects of Y2O3 Content on the Microstructure and Tribological Properties of WC-Reinforced Ti-Based Coatings on TC4 Surfaces. Coatings. 14(9). 1110–1110. 1 indexed citations
13.
Xuan, Ping, Jing Gu, Hui Cui, et al.. (2024). Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinformatics. 40(2). 8 indexed citations
14.
Xuan, Ping, et al.. (2024). Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction. Computers in Biology and Medicine. 184. 109321–109321. 2 indexed citations
15.
Zhang, Zhiqiang, et al.. (2023). Microstructure and performance of Ti-based wear-resistant laser cladding coatings with rare-earth oxides. Materials Letters. 350. 134856–134856. 5 indexed citations
17.
Xuan, Ping, et al.. (2022). Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1480–1491. 6 indexed citations
18.
Xuan, Ping, Bingxu Chen, Tiangang Zhang, & Yan Yang. (2020). Prediction of Drug–Target Interactions Based on Network Representation Learning and Ensemble Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2671–2681. 28 indexed citations
19.
Xuan, Ping, et al.. (2020). Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 455–464. 45 indexed citations
20.
Zhang, Tiangang. (2008). Effect of fly ash replacement on carbonation resistance of ready mixed concrete for general construction. New Building Materials.

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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