Dingcheng Li

2.2k total citations · 1 hit paper
69 papers, 1.3k citations indexed

About

Dingcheng Li is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dingcheng Li has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 30 papers in Molecular Biology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dingcheng Li's work include Topic Modeling (37 papers), Biomedical Text Mining and Ontologies (29 papers) and Natural Language Processing Techniques (17 papers). Dingcheng Li is often cited by papers focused on Topic Modeling (37 papers), Biomedical Text Mining and Ontologies (29 papers) and Natural Language Processing Techniques (17 papers). Dingcheng Li collaborates with scholars based in United States, China and Belarus. Dingcheng Li's co-authors include Ping Li, Jingyuan Zhang, Xiao Huang, Hongfang Liu, Jianling Wang, Huan Liu, Kaize Ding, Jundong Li, Sunghwan Sohn and Guergana Savova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dingcheng Li

65 papers receiving 1.3k citations

Hit Papers

Knowledge Graph Embedding Based Question Answering 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Knowledge Graph Embedding Based Question Answering
    2019 325 citations Dingcheng Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingcheng Li United States 18 877 353 149 120 102 69 1.3k
Alberto Lavelli Italy 19 1.3k 1.4× 544 1.5× 96 0.6× 212 1.8× 55 0.5× 86 1.8k
Buzhou Tang China 30 2.0k 2.2× 1.2k 3.5× 124 0.8× 150 1.3× 197 1.9× 127 2.7k
Matthias Samwald Austria 22 759 0.9× 660 1.9× 52 0.3× 154 1.3× 90 0.9× 70 1.5k
Honghan Wu United Kingdom 18 528 0.6× 263 0.7× 51 0.3× 76 0.6× 62 0.6× 77 1.1k
Sriraam Natarajan United States 20 961 1.1× 82 0.2× 100 0.7× 184 1.5× 127 1.2× 94 1.3k
Jianying Hu United States 25 1.0k 1.2× 590 1.7× 149 1.0× 78 0.7× 60 0.6× 77 2.6k
Tristan Naumann United States 17 2.2k 2.5× 919 2.6× 147 1.0× 76 0.6× 93 0.9× 34 3.0k
Oktie Hassanzadeh United States 17 654 0.7× 330 0.9× 48 0.3× 288 2.4× 395 3.9× 51 1.0k
Xia Ning United States 17 726 0.8× 260 0.7× 316 2.1× 977 8.1× 284 2.8× 101 1.7k
Feichen Shen United States 21 1.2k 1.4× 965 2.7× 64 0.4× 96 0.8× 77 0.8× 67 2.0k

Countries citing papers authored by Dingcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Dingcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingcheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dingcheng Li. A scholar is included among the top collaborators of Dingcheng Li 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 Dingcheng Li. Dingcheng Li 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.
Fei, Hongliang, et al.. (2023). Learning Latent Structural Relations with Message Passing Prior. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1. 5323–5332.
2.
Yang, Peng, Dingcheng Li, & Ping Li. (2022). Continual Learning for Natural Language Generations with Transformer Calibration. 40–49. 4 indexed citations
3.
Sera, Maria D., et al.. (2022). A cross-cultural study of language and cognition: Numeral classifiers and solid object categorization. Memory & Cognition. 51(3). 601–622.
4.
Ding, Kaize, Jianling Wang, Jundong Li, Dingcheng Li, & Huan Liu. (2020). Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. 4927–4936. 128 indexed citations
5.
Fei, Hongliang, Li Xu, Dingcheng Li, & Ping Li. (2019). End-to-end Deep Reinforcement Learning Based Coreference Resolution. 660–665. 24 indexed citations
6.
Zhang, Yuji, Feichen Shen, Majid Rastegar-Mojarad, et al.. (2018). Systematic identification of latent disease-gene associations from PubMed articles. PLoS ONE. 13(1). e0191568–e0191568. 14 indexed citations
7.
Wang, Yanshan, et al.. (2016). A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval.. AMIA. 1 indexed citations
8.
Hong, Na, et al.. (2016). A computational framework for converting textual clinical diagnostic criteria into the quality data model. Journal of Biomedical Informatics. 63. 11–21. 5 indexed citations
9.
Wang, Yanshan, et al.. (2016). A Part-Of-Speech term weighting scheme for biomedical information retrieval. Journal of Biomedical Informatics. 63. 379–389. 27 indexed citations
10.
Li, Dingcheng, Janet Okamoto, Hongfang Liu, & Scott J. Leischow. (2015). A bibliometric analysis on tobacco regulation investigators. BioData Mining. 8(1). 11–11. 7 indexed citations
11.
Ravikumar, K. E., Kavishwar B. Wagholikar, Dingcheng Li, Jean‐Pierre Kocher, & Hongfang Liu. (2015). Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature. BMC Bioinformatics. 16(1). 162–162. 21 indexed citations
12.
Li, Dingcheng, Zhen Wang, Feichen Shen, M. Hassan Murad, & Hongfang Liu. (2014). Towards a multi-level framework for supporting systematic review — A pilot study. 43–50. 5 indexed citations
13.
Wang, Liwei, Guoqian Jiang, Dingcheng Li, & Hongfang Liu. (2014). Standardizing adverse drug event reporting data. Journal of Biomedical Semantics. 5(1). 36–36. 30 indexed citations
14.
Pathak, Jyotishman, et al.. (2013). PhenotypePortal: An Open-Source Library and Platform for Authoring, Executing and Visualization of Electronic Health Records Driven Phenotyping Algorithms.. AMIA. 1 indexed citations
15.
Sohn, Sunghwan, Kavishwar B. Wagholikar, Dingcheng Li, et al.. (2013). Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification. Journal of the American Medical Informatics Association. 20(5). 836–842. 39 indexed citations
16.
Jonnalagadda, Siddhartha, et al.. (2013). Prioritizing journals relevant to a topic for addressing clinicians' information needs. 5. 5–6. 2 indexed citations
17.
Li, Dingcheng. (2012). Applying JBoss® Drools Business Rules Management System for Electronic Health Records Driven Phenotyping.. AMIA. 2 indexed citations
18.
Jonnalagadda, Siddhartha, Dingcheng Li, Sunghwan Sohn, et al.. (2012). Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules. Journal of the American Medical Informatics Association. 19(5). 867–874. 22 indexed citations
19.
Li, Dingcheng, Tim Miller, & William Schuler. (2011). A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. Meeting of the Association for Computational Linguistics. 1169–1178. 7 indexed citations
20.
Li, Dingcheng, Swapna Somasundaran, & Amit Chakraborty. (2011). A combination of topic models with max-margin learning for relation detection. 1–9. 7 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 Alberto Lavelli Breakdown of academic impact, for papers by Buzhou Tang Breakdown of academic impact, for papers by Matthias Samwald Breakdown of academic impact, for papers by Honghan Wu Breakdown of academic impact, for papers by Sriraam Natarajan Breakdown of academic impact, for papers by Jianying Hu Breakdown of academic impact, for papers by Tristan Naumann Breakdown of academic impact, for papers by Oktie Hassanzadeh Breakdown of academic impact, for papers by Xia Ning Breakdown of academic impact, for papers by Feichen Shen
Rankless by CCL
2026