Haoran Ding

424 total citations
20 papers, 264 citations indexed

About

Haoran Ding is a scholar working on Molecular Biology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haoran Ding has authored 20 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haoran Ding's work include Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (2 papers). Haoran Ding is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Text Analysis Techniques (3 papers) and Topic Modeling (2 papers). Haoran Ding collaborates with scholars based in China, United States and Macao. Haoran Ding's co-authors include Xiao Luo, Yubo Li, Zhou Jiang, Yingzhao Huang, Chenzhou Wu, Shuo Wang, Yuan Yu, Xinyue Zhang, Bin Yang and Qi Zhan and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Vascular Surgery and Talanta.

In The Last Decade

Haoran Ding

13 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoran Ding China 11 78 40 40 36 31 20 264
Yanpeng Li China 11 81 1.0× 39 1.0× 38 0.9× 59 1.6× 31 1.0× 28 322
Guolin Wu China 11 70 0.9× 40 1.0× 113 2.8× 36 1.0× 44 1.4× 33 349
Mei Wei China 12 117 1.5× 18 0.5× 50 1.3× 46 1.3× 45 1.5× 31 393
Yuan‐Hao Lee Taiwan 12 144 1.8× 22 0.6× 33 0.8× 36 1.0× 34 1.1× 33 333
Wenjun Tang China 9 65 0.8× 38 0.9× 36 0.9× 45 1.3× 67 2.2× 30 353
Lifan Wang China 11 147 1.9× 36 0.9× 65 1.6× 34 0.9× 75 2.4× 34 347
Marc Landsman United States 9 69 0.9× 21 0.5× 50 1.3× 36 1.0× 12 0.4× 20 261
Keqiang Wang China 11 119 1.5× 9 0.2× 32 0.8× 22 0.6× 28 0.9× 35 409
Qing Kong China 12 83 1.1× 10 0.3× 68 1.7× 83 2.3× 20 0.6× 55 385

Countries citing papers authored by Haoran Ding

Since Specialization
Citations

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

Fields of papers citing papers by Haoran Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoran Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Haoran Ding. A scholar is included among the top collaborators of Haoran Ding 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 Haoran Ding. Haoran Ding 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.
Ding, Haoran, et al.. (2025). Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance. IEEE Robotics and Automation Letters. 10(6). 5353–5360.
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Luo, Xiao, Haoran Ding, Stuart J. Warden, Ranjani N. Moorthi, & Erik A. Imel. (2024). Integrating data-driven and knowledge-driven approaches to analyze clinical notes with structured data for sarcopenia detection. Health Informatics Journal. 30(4). 1217785401–1217785401.
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Luo, Xiao, et al.. (2023). Using machine learning to detect sarcopenia from electronic health records. Digital Health. 9. 589840810–589840810. 11 indexed citations
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Wang, Shuo, Xinyue Zhang, Haoran Ding, et al.. (2023). The Evolution of Single-Cell RNA Sequencing Technology and Application: Progress and Perspectives. International Journal of Molecular Sciences. 24(3). 2943–2943. 75 indexed citations
8.
Ding, Haoran & Xiao Luo. (2022). AGRank: Augmented Graph-based Unsupervised Keyphrase Extraction. 230–239.
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Huang, Yingzhao, Qi Zhan, Chenzhou Wu, et al.. (2022). Trends and Hotspots in Nanoparticles for the Targeted Delivery of Nucleic Acids: A Ten-Year Bibliometric Study. Frontiers in Pharmacology. 13. 868398–868398. 11 indexed citations
10.
Yu, Yuan, Shuo Wang, Haoran Ding, et al.. (2022). A new strategy for the rapid identification and validation of direct toxicity targets of psoralen-induced hepatotoxicity. Toxicology Letters. 363. 11–26. 10 indexed citations
11.
Su, Rui, Xiang Wang, Yaqi Yao, et al.. (2022). An integrated strategy combining metabolomics and machine learning for the evaluation of bioactive markers that differentiate various bile. Frontiers in Chemistry. 10. 1005843–1005843.
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Zhan, Qi, Chenzhou Wu, Haoran Ding, et al.. (2022). Emerging trends in photodynamic therapy for head and neck cancer: A 10-year bibliometric analysis based on CiteSpace. Photodiagnosis and Photodynamic Therapy. 38. 102860–102860. 12 indexed citations
13.
Yao, Yaqi, et al.. (2022). Rapid classification and identification of chemical components of Astragali radix by UPLC‐Q‐TOF‐MS. Phytochemical Analysis. 33(6). 943–960. 27 indexed citations
14.
Ding, Haoran & Xiao Luo. (2021). AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1919–1928. 25 indexed citations
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Jiang, Zhou, Chenzhou Wu, Yingzhao Huang, et al.. (2021). Research on neck dissection for oral squamous-cell carcinoma: a bibliometric analysis. International Journal of Oral Science. 13(1). 13–13. 21 indexed citations
16.
Ding, Haoran, Chenzhou Wu, Qi Zhan, et al.. (2021). Radiomics in Oncology: A 10-Year Bibliometric Analysis. Frontiers in Oncology. 11. 689802–689802. 39 indexed citations
17.
Yao, Yaqi, Meiling Chen, Haoran Ding, et al.. (2021). Comprehensive evaluation integrating omics strategy and machine learning algorithms for consistency of calculus bovis from different sources. Talanta. 237. 122873–122873. 15 indexed citations
18.
Luo, Xiao, et al.. (2021). Computational methods to automate the initial interpretation of lower extremity arterial Doppler and duplex carotid ultrasound studies. Journal of Vascular Surgery. 74(3). 988–996.e1. 11 indexed citations
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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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