Yiheng Zhu

1.2k total citations · 1 hit paper
40 papers, 637 citations indexed

About

Yiheng Zhu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yiheng Zhu has authored 40 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yiheng Zhu's work include Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (14 papers) and Protein Structure and Dynamics (10 papers). Yiheng Zhu is often cited by papers focused on Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (14 papers) and Protein Structure and Dynamics (10 papers). Yiheng Zhu collaborates with scholars based in China, United States and Australia. Yiheng Zhu's co-authors include Dong‐Jun Yu, Xiaohui Shen, Jun Hu, Tianlang Chen, Zhili Chen, Jiebo Luo, Chen Fang, Xiaoning Song, Guijun Zhang and Yang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and The Journal of Physical Chemistry C.

In The Last Decade

Yiheng Zhu

35 papers receiving 626 citations

Hit Papers

Anatomy-Aware 3D Human Po... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiheng Zhu China 12 292 221 89 75 66 40 637
Szilárd Vajda United States 12 136 0.5× 322 1.5× 28 0.3× 30 0.4× 61 0.9× 39 707
Yoli Shavit Israel 9 147 0.5× 181 0.8× 29 0.3× 18 0.2× 23 0.3× 14 398
Soumitra Samanta India 9 107 0.4× 120 0.5× 45 0.5× 59 0.8× 88 1.3× 15 302
Heejin Park South Korea 12 181 0.6× 28 0.1× 39 0.4× 31 0.4× 21 0.3× 64 425
Huiying Cao China 11 83 0.3× 108 0.5× 27 0.3× 32 0.4× 16 0.2× 44 397
Shuwen Chen China 7 46 0.2× 197 0.9× 37 0.4× 32 0.4× 30 0.5× 14 398
Lingfeng Zhang China 9 143 0.5× 30 0.1× 16 0.2× 27 0.4× 24 0.4× 28 322
Qurrat Ul Ain New Zealand 10 305 1.0× 28 0.1× 65 0.7× 113 1.5× 308 4.7× 28 584

Countries citing papers authored by Yiheng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yiheng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiheng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiheng Zhu. A scholar is included among the top collaborators of Yiheng Zhu 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 Yiheng Zhu. Yiheng Zhu 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.
Liu, Yifei, Yiheng Zhu, Jike Wang, et al.. (2025). A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search. Advanced Science. 12(20). e2410640–e2410640. 4 indexed citations
2.
Li, Yuanyuan, et al.. (2025). A Systematic Review of Computational Methods for Protein Post-Translational Modification Site Prediction. Archives of Computational Methods in Engineering.
3.
Ye, Qing, Yilin Wang, Yiheng Zhu, et al.. (2025). Biology-driven insights into the power of single-cell foundation models. Genome biology. 26(1). 334–334. 1 indexed citations
4.
Zhang, Ying, Dian Liu, Yiheng Zhu, et al.. (2024). BLAM6A-Merge: Leveraging Attention Mechanisms and Feature Fusion Strategies to Improve the Identification of RNA N6-Methyladenosine Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1803–1815. 3 indexed citations
5.
Wu, Jia‐shun, Yan Liu, Yiheng Zhu, & Dong‐Jun Yu. (2024). Improving Antifreeze Proteins Prediction With Protein Language Models and Hybrid Feature Extraction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 2349–2358. 1 indexed citations
6.
Zhu, Yiheng, Yixuan Wu, Jialu Wu, et al.. (2024). Multi-Modal CLIP-Informed Protein Editing. SHILAP Revista de lepidopterología. 4. 211–211. 2 indexed citations
8.
Zhu, Yiheng, Zi Liu, Yan Liu, Zhiwei Ji, & Dong‐Jun Yu. (2024). ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein–DNA binding site prediction. Briefings in Bioinformatics. 25(2). 20 indexed citations
9.
Wang, Lidong, et al.. (2023). A unique cell division protein critical for the assembly of the bacterial divisome. eLife. 12. 1 indexed citations
10.
Zhu, Yiheng, Zhiguang Zhu, Chengke Chen, et al.. (2023). Preparation of nanodiamonds based on phase transformation of vertical sheet under atmospheric pressure. Acta Physica Sinica. 73(2). 28101–28101.
11.
Zhu, Yiheng, Chengxin Zhang, Dong‐Jun Yu, & Yang Zhang. (2022). Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. PLoS Computational Biology. 18(12). e1010793–e1010793. 38 indexed citations
12.
Xiang, Xiaoyu, Ding Liu, Xiao Yang, et al.. (2022). Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 944–954. 24 indexed citations
13.
Ge, Fang, Yiheng Zhu, Jian Xu, et al.. (2021). MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins. Computational and Structural Biotechnology Journal. 19. 6400–6416. 23 indexed citations
14.
Liu, Yan, Yiheng Zhu, Xiaoning Song, Jiangning Song, & Dong‐Jun Yu. (2021). Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Briefings in Bioinformatics. 22(5). 9 indexed citations
15.
Chen, Tianlang, Chen Fang, Xiaohui Shen, et al.. (2021). Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition. IEEE Transactions on Circuits and Systems for Video Technology. 32(1). 198–209. 189 indexed citations breakdown →
16.
Zhu, Yiheng, Jun Hu, Yong Qi, Xiaoning Song, & Dong‐Jun Yu. (2019). Boosting Granular Support Vector Machines for the Accurate Prediction of Protein-Nucleotide Binding Sites. Combinatorial Chemistry & High Throughput Screening. 22(7). 455–469. 5 indexed citations
17.
Hu, Jun, Xiaogen Zhou, Yiheng Zhu, Dong‐Jun Yu, & Guijun Zhang. (2019). TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(4). 1419–1429. 53 indexed citations
18.
Zhu, Yiheng, Jun Hu, Xiaoning Song, & Dong‐Jun Yu. (2019). DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. Journal of Chemical Information and Modeling. 59(6). 3057–3071. 56 indexed citations
19.
Han, Shufeng, Guoqiang Zhao, Yiheng Zhu, et al.. (2018). Hexagonal Boron Nitride/Blue Phosphorene Heterostructure as a Promising Anode Material for Li/Na-Ion Batteries. The Journal of Physical Chemistry C. 122(41). 23329–23335. 61 indexed citations
20.
Stadalius, M.A., et al.. (2008). A Method for the Low-Level (ng/g) Determination of Perfluorooctanoate in Carpet by LC--MS--MS Using Matrix Extracted Standards. Journal of Chromatographic Science. 46(7). 632–636. 2 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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