Bozhen Hu

623 total citations · 1 hit paper
13 papers, 274 citations indexed

About

Bozhen Hu is a scholar working on Molecular Biology, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Bozhen Hu has authored 13 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Mechanics of Materials. Recurrent topics in Bozhen Hu's work include Advanced Graph Neural Networks (3 papers), Machine Learning in Bioinformatics (2 papers) and Protein Structure and Dynamics (2 papers). Bozhen Hu is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Machine Learning in Bioinformatics (2 papers) and Protein Structure and Dynamics (2 papers). Bozhen Hu collaborates with scholars based in China, United Kingdom and Germany. Bozhen Hu's co-authors include Stan Z. Li, Lirong Wu, Jun Xia, Bin Gao, Yang Yang, Wai Lok Woo, Zhangyang Gao, Cheng Tan, Meiling Wang and Haitao Lin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Briefings in Bioinformatics.

In The Last Decade

Bozhen Hu

10 papers receiving 272 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

2022 147 citations Jun Xia, Lirong Wu et al. Proceedings of the ACM Web Conference 2022 profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bozhen Hu China	6	160	58	44	41	33	13	274
David Loker United States	9	73 0.5×	14 0.2×	20 0.5×	10 0.2×	14 0.4×	39	225
Swarnendu Ghosh India	9	86 0.5×	121 2.1×	19 0.4×	5 0.1×	9 0.3×	17	235
Ke-Thia Yao United States	10	112 0.7×	21 0.4×	42 1.0×	12 0.3×	9 0.3×	31	268
Chengjin Xu China	12	291 1.8×	59 1.0×	28 0.6×	18 0.4×	3 0.1×	30	495
M. Gethsiyal Augasta India	7	195 1.2×	56 1.0×	26 0.6×	7 0.2×	7 0.2×	11	271
Isaac Chao Spain	6	154 1.0×	48 0.8×	34 0.8×	9 0.2×	3 0.1×	14	413
Huayi Tang China	6	336 2.1×	370 6.4×	21 0.5×	13 0.3×	6 0.2×	9	544
Yifeng Zheng China	10	213 1.3×	39 0.7×	39 0.9×	18 0.4×	3 0.1×	46	326
Fangjun Luan China	9	61 0.4×	109 1.9×	12 0.3×	14 0.3×	43 1.3×	45	320

Countries citing papers authored by Bozhen Hu

Since Specialization

Citations

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

Fields of papers citing papers by Bozhen Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bozhen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Bozhen Hu. A scholar is included among the top collaborators of Bozhen Hu 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 Bozhen Hu. Bozhen Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Hu, Bozhen, et al.. (2025). Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature. Briefings in Bioinformatics. 26(2). 5 indexed citations

2.

Wu, Lirong, Yufei Huang, Zhangyang Gao, et al.. (2024). PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 310–319. 5 indexed citations

3.

Xu, Yongjie, Zelin Zang, Bozhen Hu, et al.. (2024). Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings in Bioinformatics. 26(1).

4.

Tan, Cheng, Zhangyang Gao, Lirong Wu, et al.. (2024). Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15222–15230. 1 indexed citations

5.

Chen, Shaorong, Zhangyang Gao, Bozhen Hu, et al.. (2024). AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. 1811–1828.

6.

Gao, Zhangyang, Bozhen Hu, Stan Z. Li, et al.. (2024). ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. 88581–88604.

7.

Hu, Bozhen, Yufei Huang, Stan Z. Li, et al.. (2024). Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. 137673–137697. 1 indexed citations

8.

Wu, Lirong, Haitao Lin, Bozhen Hu, et al.. (2023). Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8497–8509. 18 indexed citations

9.

Tan, Cheng, Zhangyang Gao, Jun Xia, Bozhen Hu, & Stan Z. Li. (2023). Global-Context Aware Generative Protein Design. 1–5. 3 indexed citations

10.

Hu, Bozhen, Zelin Zang, Jun Xia, et al.. (2023). Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. 1–5. 2 indexed citations

11.

Xia, Jun, et al.. (2022). SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. Proceedings of the ACM Web Conference 2022. 1070–1079. 147 indexed citations breakdown →

12.

Hu, Bozhen, et al.. (2020). A Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection. IEEE Transactions on Image Processing. 30. 472–486. 77 indexed citations

13.

Wang, Meiling, et al.. (2019). Defect depth retrieval method based on nonlinear transformation for pulsed thermographic inspection. International Journal of Thermal Sciences. 149. 106196–106196. 15 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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