Hang Dong

2.1k total citations
97 papers, 1.1k citations indexed

About

Hang Dong is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Hang Dong has authored 97 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 25 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Dong's work include Topic Modeling (16 papers), Biomedical Text Mining and Ontologies (10 papers) and Natural Language Processing Techniques (9 papers). Hang Dong is often cited by papers focused on Topic Modeling (16 papers), Biomedical Text Mining and Ontologies (10 papers) and Natural Language Processing Techniques (9 papers). Hang Dong collaborates with scholars based in China, United Kingdom and United States. Hang Dong's co-authors include Huaiqun Guan, Chunlong Zhao, Yingjie Zhang, Honghan Wu, William Whiteley, Víctor Suárez-Paniagua, Hua Zhou, Liang Liu, Vincent Kam Wai Wong and Zhi‐Hong Jiang and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hang Dong

84 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Dong China 17 532 216 115 108 106 97 1.1k
Óscar Garnica Spain 19 452 0.8× 158 0.7× 70 0.6× 63 0.6× 64 0.6× 91 1.2k
Hak‐Soo Kim South Korea 13 188 0.4× 86 0.4× 163 1.4× 52 0.5× 46 0.4× 66 744
Sung‐Young Shin South Korea 20 960 1.8× 83 0.4× 104 0.9× 65 0.6× 133 1.3× 53 1.5k
Wilson Wen Bin Goh Singapore 23 1.2k 2.3× 181 0.8× 111 1.0× 93 0.9× 172 1.6× 102 2.2k
Wei Kong China 18 738 1.4× 196 0.9× 63 0.5× 116 1.1× 166 1.6× 105 1.4k
Yuzheng Wu China 19 253 0.5× 215 1.0× 210 1.8× 89 0.8× 38 0.4× 45 891
R. Vanguri United States 10 140 0.3× 222 1.0× 325 2.8× 58 0.5× 102 1.0× 20 799
Neel S. Madhukar United States 11 523 1.0× 185 0.9× 232 2.0× 76 0.7× 195 1.8× 28 1.2k
Hui Peng China 23 795 1.5× 61 0.3× 33 0.3× 79 0.7× 273 2.6× 57 1.4k
Ling Yuan China 27 634 1.2× 314 1.5× 174 1.5× 72 0.7× 156 1.5× 101 2.0k

Countries citing papers authored by Hang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Dong. A scholar is included among the top collaborators of Hang Dong 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 Hang Dong. Hang Dong 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.
Ma, Xiaolin, et al.. (2025). Proteomics identifies complement protein signatures in patients with primary biliary cholangitis. European journal of medical research. 30(1). 1155–1155.
2.
Dong, Hang, et al.. (2024). Porous structure optimization via non-uniform thermal diffusion. Computer Methods in Applied Mechanics and Engineering. 428. 117112–117112. 3 indexed citations
3.
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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.
Dong, Hang, et al.. (2024). Eriodictyol attenuates osteoarthritis progression through inhibiting inflammation via the PI3K/AKT/NF-κB signaling pathway. Scientific Reports. 14(1). 18853–18853. 7 indexed citations
8.
9.
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
10.
Yu, Gaoyuan, et al.. (2023). A Multilevel Hierarchical Parallel Algorithm for Large-Scale Finite Element Modal Analysis. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 2795–2816. 1 indexed citations
11.
Wang, Kai, Wenjie Ma, Hang Dong, et al.. (2023). 1245 INTERPLAY BETWEEN COFFEE INTAKE AND THE GUT MICROBIOME IN RELATION TO HOST METABOLOME. Gastroenterology. 164(6). S–257.
12.
Shi, Xiaomei, Yi‐Tong Xu, Bing Wang, et al.. (2023). An Integrated Dual‐Functional Nanotool Capable of Studying Single‐Cell Epigenetics and Programmable Gene Regulation. Angewandte Chemie. 135(29). 4 indexed citations
13.
He, Yuan, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, & Ian Horrocks. (2023). Language Model Analysis for Ontology Subsumption Inference. 3439–3453. 4 indexed citations
14.
Chen, Jiaoyan, Hang Dong, Ernesto Jiménez-Ruiz, et al.. (2023). Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Dong, Hang, Lin An, Chaofeng Zhang, et al.. (2022). Design and Optimization of Solid Amine CO2 Adsorbents Assisted by Machine Learning. ACS Sustainable Chemistry & Engineering. 10(39). 13185–13193. 20 indexed citations
16.
Dong, Hang, et al.. (2021). CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 907–912. 5 indexed citations
17.
Suárez-Paniagua, Víctor, et al.. (2021). A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports.. Edinburgh Research Explorer. 846–856. 3 indexed citations
18.
Dong, Hang, et al.. (2021). MiR-506-3p Promotes the Proliferation and Migration of Vascular Smooth Muscle Cells via Targeting KLF4. Pathobiology. 88(4). 277–288. 6 indexed citations
19.
Oh, Sanghee, et al.. (2020). Self-archiving Motivations across Academic Disciplines on an Academic Social Networking Service. 51(4). 313–332. 1 indexed citations
20.
Cai, Yu, Ru Jia, Hao Xiong, et al.. (2019). Integrative gene expression profiling reveals that dysregulated triple microRNAs confer paclitaxel resistance in non-small cell lung cancer via co-targeting MAPT. SHILAP Revista de lepidopterología. 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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