Dingmin Wang

435 total citations
21 papers, 235 citations indexed

About

Dingmin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Dingmin Wang has authored 21 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Dingmin Wang's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Database Systems and Queries (4 papers). Dingmin Wang is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Database Systems and Queries (4 papers). Dingmin Wang collaborates with scholars based in China, United Kingdom and United States. Dingmin Wang's co-authors include Zhong Li, Yi Tay, Yan Song, Haisong Zhang, Jialong Han, Jing Li, Yong Jiang, Qing Li, Bernardo Cuenca Grau and Kam‐Fai Wong and has published in prestigious journals such as Frontiers in Veterinary Science, IEEE Transactions on Network and Service Management and Transactions of the Association for Computational Linguistics.

In The Last Decade

Dingmin Wang

17 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingmin Wang China 8 177 62 53 15 11 21 235
Qingqing Cai China 6 198 1.1× 46 0.7× 33 0.6× 44 2.9× 2 0.2× 11 233
Vincent Zhao United States 3 122 0.7× 49 0.8× 49 0.9× 38 2.5× 41 3.7× 3 194
Kazumaro Aoki Japan 6 111 0.6× 72 1.2× 23 0.4× 15 1.0× 9 0.8× 22 129
Patrik Ekdahl Sweden 6 160 0.9× 98 1.6× 36 0.7× 15 1.0× 17 1.5× 11 195
Huamin Feng China 6 126 0.7× 122 2.0× 29 0.5× 47 3.1× 7 0.6× 11 238
Ronny Van Keer Netherlands 6 116 0.7× 80 1.3× 18 0.3× 6 0.4× 29 2.6× 7 142
Toru Akishita Denmark 4 96 0.5× 70 1.1× 15 0.3× 8 0.5× 20 1.8× 7 114
Yonglin Hao China 5 103 0.6× 67 1.1× 11 0.2× 12 0.8× 19 1.7× 17 124
Kavosh Asadi United States 5 192 1.1× 38 0.6× 19 0.4× 9 0.6× 4 0.4× 8 215
Greg Zaverucha United Kingdom 7 168 0.9× 28 0.5× 50 0.9× 64 4.3× 9 0.8× 15 203

Countries citing papers authored by Dingmin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingmin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingmin Wang. A scholar is included among the top collaborators of Dingmin Wang 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 Dingmin Wang. Dingmin Wang 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.
Wang, Dingmin, et al.. (2024). Working Memory Capacity of ChatGPT: An Empirical Study. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10048–10056. 3 indexed citations
2.
Wang, Dingmin, et al.. (2024). Contextual Distillation Model for Diversified Recommendation. arXiv (Cornell University). 5307–5316. 6 indexed citations
4.
Wang, Dingmin, Qiuyuan Huang, Matthew O. Jackson, & Jianfeng Gao. (2024). Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering. Transactions of the Association for Computational Linguistics. 12. 247–263. 1 indexed citations
5.
Wang, Dingmin, et al.. (2024). Practical Reasoning in DatalogMTL. Theory and Practice of Logic Programming. 25(2). 225–255.
6.
Li, Qing, et al.. (2023). Counterfactual Video Recommendation for Duration Debiasing. 4894–4903. 15 indexed citations
7.
Wang, Dingmin, et al.. (2023). Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6566–6574.
8.
Wang, Dingmin, et al.. (2023). Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4652–4659. 2 indexed citations
9.
Kaminski, Mark, et al.. (2023). Stream reasoning with DatalogMTL. Journal of Web Semantics. 76. 100776–100776. 2 indexed citations
10.
Guo, Yuxin, Pengfei Jiang, Yan He, et al.. (2022). Transcriptomic Profiles of Splenic CD19+ B Cells in Mice Chronically Infected With the Larval Echinococcus granulosus. Frontiers in Veterinary Science. 9. 848458–848458.
11.
Li, Qing, et al.. (2022). Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. Proceedings of the ACM Web Conference 2022. 2879–2887. 13 indexed citations
12.
Wang, Dingmin, et al.. (2022). MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 5906–5913. 7 indexed citations
13.
Wang, Dingmin, Chenghua Lin, Qi Liu, & Kam‐Fai Wong. (2021). Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. 289–295. 9 indexed citations
14.
Wang, Dingmin, Yi Tay, & Zhong Li. (2019). Confusionset-guided Pointer Networks for Chinese Spelling Check. 5780–5785. 52 indexed citations
15.
Wang, Dingmin, Meng Fang, Yan Song, & Juntao Li. (2019). Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.. International Joint Conference on Artificial Intelligence. 12–20. 2 indexed citations
16.
Li, Qing, et al.. (2019). HQTimer: A Hybrid ${Q}$ -Learning-Based Timeout Mechanism in Software-Defined Networks. IEEE Transactions on Network and Service Management. 16(1). 153–166. 23 indexed citations
17.
Wang, Dingmin, Yan Song, Jing Li, Jialong Han, & Haisong Zhang. (2018). A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check. 2517–2527. 73 indexed citations
18.
Wang, Dingmin, Qing Li, Yong Jiang, Mingwei Xu, & Guangwu Hu. (2017). Balancer: A Traffic-Aware Hybrid Rule Allocation Scheme in Software Defined Networks. 41. 1–9. 6 indexed citations
19.
Fung, Gabriel Pui Cheong, et al.. (2017). NLPTEA 2017 Shared Task - Chinese Spelling Check.. 29–34. 7 indexed citations
20.
Wang, Dingmin, Qing Li, Lei Wang, Richard Sinnott, & Yong Jiang. (2017). A hybrid-timeout mechanism to handle rule dependencies in software defined networks. 241–246. 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.

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