Dingmin Wang

457 citations
24 papers · 245 · h-index 8

Impact in

Papers in

Dingmin Wang

18 papers receiving 236 citations

Peers

Dingmin Wang
Comparison fields: 5 of 31
  • Artificial Intelligence 182
  • Computer Vision and Pattern Recognition 62
  • Computer Networks and Communications 55
  • Hardware and Architecture 11
  • Language and Linguistics 9
Replace Qingqing Cai with:
Qingqing Cai China
Dongho Kim United Kingdom
Patrik Ekdahl Sweden
Fabian Boemer United States
Greg Zaverucha United States
Yunming Liao China
Kazumaro Aoki Japan
Huamin Feng China
Vincent Zhao United States
Olivier Blazy France
Dingmin Wang relative to Qingqing Cai China Qingqing Cai's profile →
Citations per field
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Qingqing Cai · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dingmin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dingmin Wang Line = papers co-authored together Dingmin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 201953
3 201923
4 202318
5 202213
6 201711
7 20219
8 20227
9
NLPTEA 2017 Shared Task - Chinese Spelling Check.
20177
10 20246
11 20176
12 20234
13 20243
14 20213
15
Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
20192
16 20242
17 20232
18
Analysis and Reflection on the Sources of Operating Expenditures of Chinese Universities:Based on Resource Dependence Theory
20121
19 20201
20 20250

About Dingmin Wang

Dingmin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 24 papers that have together received 245 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Advanced Database Systems and Queries (4 papers), Semantic Web and Ontologies (4 papers), Multimodal Machine Learning Applications (3 papers), Software-Defined Networks and 5G (3 papers), Recommender Systems and Techniques (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (182 citations), Computer Vision and Pattern Recognition (62 citations), Computer Networks and Communications (55 citations), Hardware and Architecture (11 citations) and Language and Linguistics (9 citations). Dingmin Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhong Li, Yi Tay, Jialong Han, Jing Li, Haisong Zhang, Yan Song, Yong Jiang, Qing Li, Bernardo Cuenca Grau and Kam‐Fai Wong. Their work appears in journals such as Theory and Practice of Logic Programming, IEEE Transactions on Network and Service Management, Frontiers in Veterinary Science, Transactions of the Association for Computational Linguistics and Journal of Web Semantics.

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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