Honghan Wu

3.2k total citations
77 papers, 1.1k citations indexed

About

Honghan Wu is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Honghan Wu has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 23 papers in Molecular Biology and 15 papers in Epidemiology. Recurrent topics in Honghan Wu's work include Machine Learning in Healthcare (21 papers), Biomedical Text Mining and Ontologies (21 papers) and Topic Modeling (15 papers). Honghan Wu is often cited by papers focused on Machine Learning in Healthcare (21 papers), Biomedical Text Mining and Ontologies (21 papers) and Topic Modeling (15 papers). Honghan Wu collaborates with scholars based in United Kingdom, China and Australia. Honghan Wu's co-authors include Richard Dobson, Jeff Z. Pan, Zina Ibrahim, Robert Stewart, Jose Manuél Gómez-Pérez, Guido Vetere, Hang Dong, William Whiteley, Isabel Straw and Matthew Broadbent and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Honghan Wu

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honghan Wu United Kingdom 18 528 263 159 125 104 77 1.1k
Jake Luo United States 19 442 0.8× 324 1.2× 169 1.1× 64 0.5× 72 0.7× 80 1.2k
Yoni Halpern United States 9 489 0.9× 207 0.8× 123 0.8× 141 1.1× 62 0.6× 16 838
Yang Xiang China 19 598 1.1× 313 1.2× 155 1.0× 75 0.6× 94 0.9× 61 1.2k
Arianna Dagliati Italy 17 310 0.6× 236 0.9× 308 1.9× 82 0.7× 52 0.5× 49 995
Bo Jin China 18 335 0.6× 166 0.6× 125 0.8× 159 1.3× 62 0.6× 52 1.0k
Xi Yang United States 19 760 1.4× 294 1.1× 160 1.0× 99 0.8× 338 3.3× 59 1.6k
Stephen Wu United States 20 781 1.5× 612 2.3× 153 1.0× 77 0.6× 88 0.8× 49 1.3k
Shyam Visweswaran United States 23 721 1.4× 499 1.9× 243 1.5× 181 1.4× 226 2.2× 129 1.9k
Cristina Soguero-Ruíz Spain 18 416 0.8× 86 0.3× 133 0.8× 104 0.8× 103 1.0× 81 1.1k
Tze-Yun Leong Singapore 18 360 0.7× 160 0.6× 120 0.8× 76 0.6× 60 0.6× 88 855

Countries citing papers authored by Honghan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Honghan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Honghan Wu. A scholar is included among the top collaborators of Honghan Wu 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 Honghan Wu. Honghan Wu 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.
2.
Wang, Xiaocong, David A. Pearce, Gareth Baynam, et al.. (2025). Digital health technology use in clinical trials of rare diseases: a systematic review. Communications Medicine. 5(1). 449–449.
3.
Tomlinson, Christopher, et al.. (2025). Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review. Journal of Medical Internet Research. 27. e57358–e57358. 4 indexed citations
4.
Wu, Honghan, et al.. (2024). MedExQA: Medical Question Answering Benchmark with Multiple Explanations. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 167–181. 5 indexed citations
5.
6.
Ji, Shaoxiong, Hang Dong, Yijia Zhang, et al.. (2024). A Unified Review of Deep Learning for Automated Medical Coding. ACM Computing Surveys. 56(12). 1–41. 13 indexed citations
7.
8.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2024). Natural language processing for detecting adverse drug events: A systematic review protocol. SHILAP Revista de lepidopterología. 3. 67–67. 1 indexed citations
9.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2024). Natural language processing for detecting adverse drug events: A systematic review protocol. NIHR Open Research. 3. 67–67. 1 indexed citations
10.
11.
Blackbourn, Luke A. K., Stuart J. McGurnaghan, Stewart W Mercer, et al.. (2024). Antidepressant and antipsychotic prescribing in patients with type 2 diabetes in Scotland: A time‐trend analysis from 2004 to 2021. British Journal of Clinical Pharmacology. 90(11). 2802–2810. 2 indexed citations
12.
Dong, Hang, Víctor Suárez-Paniagua, Huayu Zhang, et al.. (2023). Ontology-driven and weakly supervised rare disease identification from clinical notes. BMC Medical Informatics and Decision Making. 23(1). 86–86. 15 indexed citations
13.
Zhang, Huayu, Imane Guellil, Víctor Suárez-Paniagua, et al.. (2023). FLAP: a framework for linking free-text addresses to the Ordnance Survey Unique Property Reference Number database. Frontiers in Digital Health. 5. 1186208–1186208. 1 indexed citations
14.
Groza, Tudor, Honghan Wu, Marcel E. Dinger, et al.. (2023). Term-BLAST-like alignment tool for concept recognition in noisy clinical texts. Bioinformatics. 39(12). 3 indexed citations
15.
Luz, Saturnino, et al.. (2023). Machine Learning to Classify Cardiotocography for Fetal Hypoxia Detection. PubMed. 12. 1–4. 4 indexed citations
16.
Guellil, Imane, Richard Tobin, Clare Llewellyn, et al.. (2023). Natural language processing for detecting adverse drug events: A systematic review protocol. NIHR Open Research. 3. 67–67. 1 indexed citations
17.
Das‐Munshi, Jayati, Honghan Wu, Željko Kraljević, et al.. (2021). Investigating the association between physical health comorbidities and disability in individuals with severe mental illness. European Psychiatry. 64(1). e77–e77. 9 indexed citations
18.
Wu, Honghan, Karen Hodgson, Katherine I. Morley, et al.. (2019). Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.. arXiv (Cornell University). 1 indexed citations
19.
Ibrahim, Zina, Honghan Wu, Kerstin Bach, et al.. (2017). Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH). Edinburgh Research Explorer. 1 indexed citations
20.
Hu, Wei, Yuanyuan Zhao, Dan Li, et al.. (2007). Falcon-AO: results for OAEI 2007. Brain Imaging and Behavior. 17(6). 170–178. 11 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

Breakdown of academic impact, for papers by Jake Luo Breakdown of academic impact, for papers by Yoni Halpern Breakdown of academic impact, for papers by Yang Xiang Breakdown of academic impact, for papers by Arianna Dagliati Breakdown of academic impact, for papers by Bo Jin Breakdown of academic impact, for papers by Xi Yang Breakdown of academic impact, for papers by Stephen Wu Breakdown of academic impact, for papers by Shyam Visweswaran Breakdown of academic impact, for papers by Cristina Soguero-Ruíz Breakdown of academic impact, for papers by Tze-Yun Leong
Rankless by CCL
2026