Ruheng Wang

911 total citations · 1 hit paper
26 papers, 602 citations indexed

About

Ruheng Wang is a scholar working on Molecular Biology, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ruheng Wang has authored 26 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Civil and Structural Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Ruheng Wang's work include Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruheng Wang is often cited by papers focused on Machine Learning in Bioinformatics (9 papers), RNA and protein synthesis mechanisms (6 papers) and vaccines and immunoinformatics approaches (5 papers). Ruheng Wang collaborates with scholars based in China, Macao and United States. Ruheng Wang's co-authors include Leyi Wei, Chuntao Zhang, Junru Jin, Gangbing Song, Kenta Nakai, Quan Zou, Yi Jiang, Ran Su, Zhongshen Li and Yingying Yu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Construction and Building Materials.

In The Last Decade

Ruheng Wang

24 papers receiving 597 citations

Hit Papers

DeepBIO: an automated and interpretable deep-learning pla... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruheng Wang China 12 384 113 97 62 58 26 602
Quan Chen China 14 295 0.8× 22 0.2× 33 0.3× 111 1.8× 10 0.2× 42 557
Zhicheng Wu China 6 169 0.4× 41 0.4× 41 0.4× 8 0.1× 48 0.8× 25 349
Jilong Li China 14 277 0.7× 7 0.1× 28 0.3× 100 1.6× 23 0.4× 31 422
Runtao Yang China 14 286 0.7× 5 0.0× 61 0.6× 15 0.2× 26 0.4× 38 486
Simone Pellegrino United Kingdom 14 298 0.8× 191 1.7× 2 0.0× 23 0.4× 171 2.9× 20 638
Ziang Lu China 10 157 0.4× 18 0.2× 33 0.3× 50 0.8× 31 0.5× 24 328
Xin Wen China 13 388 1.0× 4 0.0× 44 0.5× 326 5.3× 368 6.3× 47 1.0k
Yanjuan Li China 14 462 1.2× 4 0.0× 37 0.4× 57 0.9× 9 0.2× 35 581
Cheng-Tao Wu Taiwan 10 61 0.2× 26 0.2× 24 0.2× 73 1.2× 97 1.7× 34 329

Countries citing papers authored by Ruheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruheng Wang. A scholar is included among the top collaborators of Ruheng Wang 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 Ruheng Wang. Ruheng Wang 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.
Wang, Ruheng, Xuetong Yang, Chao Pang, & Leyi Wei. (2025). A Multi-Objective Comprehensive Framework for Predicting Protein-Peptide Interactions and Binding Residues. IEEE Journal of Biomedical and Health Informatics. 29(11). 7884–7895.
2.
Wang, Ruheng, Kenta Nakai, & Leyi Wei. (2025). Prediction of Protein–Peptide Binding Sites Using PepBCL. Methods in molecular biology. 2941. 269–278. 1 indexed citations
3.
Wang, Ruheng, et al.. (2024). NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinformatics. 40(2). 11 indexed citations
4.
Pang, Chao, Yi Jiang, Ruheng Wang, et al.. (2024). Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14022–14036.
5.
Wang, Ruheng, et al.. (2024). MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. Journal of Chemical Information and Modeling. 64(3). 1050–1065. 7 indexed citations
6.
Wang, Ruheng, et al.. (2024). An interpretable deep learning model predicts RNA–small molecule binding sites. Future Generation Computer Systems. 159. 557–566. 4 indexed citations
8.
Wang, Ruheng, et al.. (2023). Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. Journal of Chemical Information and Modeling. 64(1). 316–326. 18 indexed citations
9.
Wang, Ruheng, et al.. (2023). ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Computers in Biology and Medicine. 167. 107631–107631. 10 indexed citations
10.
Wang, Ruheng, Yi Jiang, Junru Jin, et al.. (2023). DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis. Nucleic Acids Research. 51(7). 3017–3029. 104 indexed citations breakdown →
11.
Wang, Tianshuo, Ruheng Wang, & Leyi Wei. (2023). AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. Journal of Chemical Information and Modeling. 64(7). 2854–2862. 30 indexed citations
12.
Yang, Xuetong, Junru Jin, Ruheng Wang, et al.. (2023). CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. Journal of Chemical Information and Modeling. 64(7). 2807–2816. 18 indexed citations
13.
Jiang, Yi, Ruheng Wang, Junru Jin, et al.. (2023). Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction. Advanced Science. 10(11). e2206151–e2206151. 55 indexed citations
14.
Wang, Ruheng, Junru Jin, Quan Zou, Kenta Nakai, & Leyi Wei. (2022). Predicting protein–peptide binding residues via interpretable deep learning. Bioinformatics. 38(13). 3351–3360. 62 indexed citations
15.
Jin, Junru, Yingying Yu, Ruheng Wang, et al.. (2022). iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations. Genome biology. 23(1). 219–219. 95 indexed citations
16.
Wang, Junjie, Chuntao Zhang, & Ruheng Wang. (2018). Effect of Corrosion-Fatigue Coupled Damage on Mechanical Properties of Q345 Angle Steel. 2 indexed citations
17.
Xiang, Qiang & Ruheng Wang. (2011). The Failure Mode of RC Beams Under Blast Loading. 1 indexed citations
18.
Wang, Ruheng. (2009). SHPB Test for Dynamic Mechanical Performances of Concrete at High Temperatures. Acta Armamentarii. 2 indexed citations
19.
Jia, Bin, et al.. (2008). Effects of temperature and strain rate on dynamic properties of concrete. Transactions of Tianjin University. 14(S1). 511–513. 8 indexed citations
20.
Wang, Ruheng. (2007). Experimental study on influence of vibration frequency to dynamic modulus and damping ratio characteristics of saturate sandy pebble soil. Sichuan Building Science. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026