Heng Weng

761 total citations
36 papers, 413 citations indexed

About

Heng Weng is a scholar working on Artificial Intelligence, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Heng Weng has authored 36 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Molecular Biology and 6 papers in Complementary and alternative medicine. Recurrent topics in Heng Weng's work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (5 papers). Heng Weng is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (5 papers). Heng Weng collaborates with scholars based in China, United States and Australia. Heng Weng's co-authors include Tianyong Hao, Xieling Chen, Jun Yan, Aihua Ou, Andrew Maxwell, Chaoyang Zhang, Ping Gong, Runzhi Li, Huixiao Hong and Zhaoxian Zhou and has published in prestigious journals such as BMC Bioinformatics, Applied Soft Computing and Frontiers in Pharmacology.

In The Last Decade

Heng Weng

34 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng Weng China 11 115 73 43 34 33 36 413
Sandra Bringay France 15 270 2.3× 54 0.7× 40 0.9× 97 2.9× 48 1.5× 62 725
Jing Mei China 10 200 1.7× 62 0.8× 19 0.4× 57 1.7× 18 0.5× 58 434
John M. Aronis United States 13 233 2.0× 60 0.8× 43 1.0× 112 3.3× 14 0.4× 29 565
Clovis Foguem France 14 144 1.3× 83 1.1× 8 0.2× 54 1.6× 16 0.5× 26 432
Miroslav Marinov Bulgaria 6 201 1.7× 72 1.0× 14 0.3× 81 2.4× 37 1.1× 19 487
Stelios Sfakianakis Greece 17 165 1.4× 191 2.6× 12 0.3× 101 3.0× 22 0.7× 59 610
Titin Siswantining Indonesia 9 123 1.1× 92 1.3× 10 0.2× 74 2.2× 38 1.2× 76 394
Pantelis Natsiavas Greece 11 53 0.5× 39 0.5× 14 0.3× 44 1.3× 13 0.4× 47 483
Rebecca Nugent United States 15 179 1.6× 74 1.0× 35 0.8× 71 2.1× 26 0.8× 45 571
Patricia Alafaireet United States 4 176 1.5× 44 0.6× 12 0.3× 65 1.9× 22 0.7× 8 395

Countries citing papers authored by Heng Weng

Since Specialization
Citations

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

Fields of papers citing papers by Heng Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Weng. A scholar is included among the top collaborators of Heng Weng 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 Heng Weng. Heng Weng 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.
Kan, S. B. Jennifer, et al.. (2025). A new semi-supervised fuzzy clustering method based on latent representation learning and information fusion. Applied Soft Computing. 170. 112717–112717. 2 indexed citations
2.
Zhang, Tong, Hanhong Zhang, Bo Nancy Yu, et al.. (2025). Fuzheng Jiedu granules against disease progression among high-risk adults with non-severe COVID-19: a multicenter retrospective cohort study. Frontiers in Pharmacology. 16. 1523004–1523004.
3.
Yang, Ping, et al.. (2024). Transcription Factor ETV4 Activates AURKA to Promote PD-L1 Expression and Mediate Immune Escape in Lung Adenocarcinoma. International Archives of Allergy and Immunology. 185(9). 910–920. 4 indexed citations
4.
Zhan, Choujun, et al.. (2024). A new graph-based clustering method with dual-feature regularization and Laplacian rank constraint. Knowledge-Based Systems. 309. 112738–112738. 1 indexed citations
5.
Ge, Hao, et al.. (2024). The Effect of Gua Sha Therapy on Pain in Parkinson’s Disease: a Randomized Controlled Trial. International Journal of General Medicine. Volume 17. 2791–2800. 2 indexed citations
6.
Chen, Xinying, Heng Weng, Teng Huang, et al.. (2023). Association between levels of IgG antibodies from vaccines and Omicron symptomatic infection among children and adolescents in China. Frontiers in Medicine. 10. 1240340–1240340. 4 indexed citations
7.
Wang, Li, Yu‐xia Li, Longde Wang, et al.. (2023). Clinical and humoral immune response characterization of SARS-CoV-2 Omicron BA.2.38 infection in pediatric patients. Heliyon. 9(7). e18093–e18093. 2 indexed citations
8.
9.
Zhang, Claire Shuiqing, et al.. (2022). Chinese herbal medicine for migraine management: A hospital-based retrospective analysis of electronic medical records. Frontiers in Medicine. 9. 936234–936234. 3 indexed citations
10.
Li, Yong, Zhenguo Yang, Heng Weng, et al.. (2022). A Bi-level representation learning model for medical visual question answering. Journal of Biomedical Informatics. 134. 104183–104183. 14 indexed citations
11.
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13.
Tan, Wenyan, et al.. (2021). Disease risk analysis for schizophrenia patients by an automatic AHP framework. BMC Medical Informatics and Decision Making. 21(S9). 375–375. 2 indexed citations
14.
Tan, Wenyan, Aihua Ou, Zehui He, et al.. (2020). The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia. BMC Medical Informatics and Decision Making. 20(S3). 132–132. 8 indexed citations
15.
Wu, Jiayi, Jiangyong Gu, Heng Weng, et al.. (2020). Modular Characteristics and Mechanism of Action of Herbs for Endometriosis Treatment in Chinese Medicine: A Data Mining and Network Pharmacology–Based Identification. Frontiers in Pharmacology. 11. 147–147. 45 indexed citations
16.
Weng, Heng, et al.. (2020). Temporal Expression Classification and Normalization From Chinese Narrative Clinical Texts: Pattern Learning Approach. JMIR Medical Informatics. 8(7). e17652–e17652. 3 indexed citations
17.
Jin, Hao, et al.. (2019). An approach for transgender population information extraction and summarization from clinical trial text. BMC Medical Informatics and Decision Making. 19(S2). 62–62. 13 indexed citations
18.
Chen, Xieling, et al.. (2019). Discovering thematic change and evolution of utilizing social media for healthcare research. BMC Medical Informatics and Decision Making. 19(S2). 50–50. 88 indexed citations
19.
Hao, Tianyong, et al.. (2018). A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts. BMC Medical Informatics and Decision Making. 18(S1). 22–22. 13 indexed citations
20.
Maxwell, Andrew, Runzhi Li, Bei Yang, et al.. (2017). Deep learning architectures for multi-label classification of intelligent health risk prediction. BMC Bioinformatics. 18(S14). 523–523. 109 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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