Haochen Zhao

950 total citations
42 papers, 487 citations indexed

About

Haochen Zhao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Haochen Zhao has authored 42 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 10 papers in Cancer Research. Recurrent topics in Haochen Zhao's work include Computational Drug Discovery Methods (10 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (6 papers). Haochen Zhao is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (6 papers). Haochen Zhao collaborates with scholars based in China, United States and Australia. Haochen Zhao's co-authors include Lei Wang, Jianxin Wang, Xiang Feng, Linai Kuang, Qichang Zhao, Nanthi Bolan, Kadambot H. M. Siddique, M.B. Kirkham, Hailong Wang and Lokesh P. Padhye and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Haochen Zhao

36 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haochen Zhao China 13 240 133 56 52 46 42 487
Gregory Akerman United States 7 154 0.6× 136 1.0× 30 0.5× 42 0.8× 36 0.8× 10 426
Neha Upadhyay India 15 306 1.3× 72 0.5× 27 0.5× 37 0.7× 39 0.8× 24 653
Alexandra Maertens United States 15 232 1.0× 63 0.5× 87 1.6× 48 0.9× 55 1.2× 39 652
Yue Qiu China 14 140 0.6× 44 0.3× 12 0.2× 22 0.4× 45 1.0× 72 483
Yuchen Gao China 10 105 0.4× 41 0.3× 27 0.5× 11 0.2× 46 1.0× 17 350
Huasheng Li China 12 118 0.5× 68 0.5× 22 0.4× 126 2.4× 30 0.7× 28 622
Ziwei Pan China 6 176 0.7× 54 0.4× 14 0.3× 18 0.3× 26 0.6× 9 397
Lingfeng Luo China 16 220 0.9× 102 0.8× 11 0.2× 19 0.4× 19 0.4× 55 702
Jessica Wignall United States 8 155 0.6× 65 0.5× 81 1.4× 36 0.7× 117 2.5× 13 650

Countries citing papers authored by Haochen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Haochen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haochen Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Haochen Zhao. A scholar is included among the top collaborators of Haochen Zhao 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 Haochen Zhao. Haochen Zhao 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.
Zhao, Haochen, et al.. (2025). AGPred: An End-to-End Deep Learning Model for Predicting Drug Approvals in Clinical Trials Based on Molecular Features. IEEE Journal of Biomedical and Health Informatics. 29(11). 7863–7872.
2.
Zhao, Haochen & Qiang Wei. (2025). Global and regional burden of kidney cancer: Analysis and future predictions based on GBD data from 1990 to 2021.. Journal of Clinical Oncology. 43(5_suppl). 521–521. 1 indexed citations
3.
Zhao, Qichang, Haochen Zhao, Kai Zheng, et al.. (2025). ColdstartCPI: Induced-fit theory-guided DTI predictive model with improved generalization performance. Nature Communications. 16(1). 6436–6436.
4.
Deng, Li, Siqi Fan, Haochen Zhao, et al.. (2025). Worldwide trends and future projections of fungal skin disease burden: a comprehensive analysis from the Global Burden of Diseases study 2021. Frontiers in Public Health. 13. 1580221–1580221. 3 indexed citations
5.
Deng, Li, Ge Yan, Shasha Song, et al.. (2025). Temporal trend in non-melanoma skin cancer mortality in China, 1992–2021: an analysis for the global burden of disease study 2021. Frontiers in Medicine. 12. 1495454–1495454.
6.
Deng, Li, Siqi Fan, Haochen Zhao, et al.. (2025). Global, regional and national burden of skin and subcutaneous diseases: a systematic analysis of the Global Burden of Disease Study 2021. International Health. 18(2). 183–196.
7.
Zhao, Haochen, Tiantian Zhang, Xuedan Zhang, et al.. (2024). A literature review of using supercritical CO2 for geothermal energy extraction: Potential, methods, challenges, and perspectives. Renewable energy focus. 51. 100637–100637. 6 indexed citations
9.
Zhao, Haochen, et al.. (2024). Application of machine learning in drug side effect prediction: databases, methods, and challenges. Frontiers of Computer Science. 19(5). 13 indexed citations
10.
Zhao, Haochen, et al.. (2024). A Knowledge Graph-Based Method for Drug-Drug Interaction Prediction With Contrastive Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 2485–2495. 3 indexed citations
11.
Ni, Peng, Fan Nie, Zeyu Zhong, et al.. (2023). DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing. Nature Communications. 14(1). 4054–4054. 48 indexed citations
12.
Bolan, Shiv, Hasintha Wijesekara, Tao Zhang, et al.. (2023). Boron contamination and its risk management in terrestrial and aquatic environmental settings. The Science of The Total Environment. 894. 164744–164744. 39 indexed citations
13.
Zhao, Haochen, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, & Jianxin Wang. (2023). MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinformatics. 39(9). 7 indexed citations
14.
Kumar, Manish, Nanthi Bolan, Tahereh Jasemizad, et al.. (2022). Mobilization of contaminants: Potential for soil remediation and unintended consequences. The Science of The Total Environment. 839. 156373–156373. 74 indexed citations
15.
Yu, Lili, Xiuling Cui, Panpan Song, et al.. (2022). Perioperative pectoral nerve block type II and postoperative recurrence in breast cancer: a randomized controlled trial. BMC Surgery. 22(1). 447–447. 5 indexed citations
16.
Zhang, Yaoxin, Xiaoqing He, Haochen Zhao, et al.. (2020). Genome-Wide Identification of DNA Methylases and Demethylases in Kiwifruit (Actinidia chinensis). Frontiers in Plant Science. 11. 514993–514993. 12 indexed citations
17.
Zhao, Haochen, et al.. (2020). BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction. Frontiers in Genetics. 11. 384–384. 7 indexed citations
18.
Li, Hao, Yuqi Wang, Haochen Zhao, et al.. (2019). A Novel Human Microbe-Disease Association Prediction Method Based on the Bidirectional Weighted Network. Frontiers in Microbiology. 10. 676–676. 20 indexed citations
19.
Chen, Weibin, et al.. (2019). Analysis of factors potentially predicting prognosis of colorectal cancer. World Journal of Gastrointestinal Oncology. 11(12). 1206–1217. 12 indexed citations
20.
Zhao, Haochen. (2017). New image processing algorithm for geological structure identification of rock slopes based on drone-captured images, A. Digital Collections of Colorado (Colorado State University). 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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