Dingmin Wang

435 citations
21 papers · 235 · h-index 8

Impact in

Papers in

Dingmin Wang

17 papers receiving 227 citations

Peers

Dingmin Wang
Comparison fields: 5 of 29
  • Artificial Intelligence 177
  • Computer Vision and Pattern Recognition 62
  • Computer Networks and Communications 53
  • Hardware and Architecture 11
  • Language and Linguistics 9
Replace Qingqing Cai with:
Qingqing Cai China
Patrik Ekdahl Sweden
Ronny Van Keer Netherlands
Kazumaro Aoki Japan
Kavosh Asadi United States
Huamin Feng China
Akiko Eriguchi Japan
Greg Zaverucha United Kingdom
Keewoo Lee South Korea
Bertram Poettering United Kingdom
Dingmin Wang relative to Qingqing Cai China Qingqing Cai's profile →
Citations per field
00.5×5.5×
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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 201952
3 201923
4 202315
5 202213
6 201711
7 20219
8
NLPTEA 2017 Shared Task - Chinese Spelling Check.
20177
9 20227
10 20246
11 20176
12 20243
13 20213
14
Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
20192
15 20232
16 20232
17 20241
18 20230
19 20240
20 20220

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 21 papers that have together received 235 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (4 papers), Multimodal Machine Learning Applications (3 papers), Software-Defined Networks and 5G (3 papers), Recommender Systems and Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Computer Vision and Pattern Recognition (62 citations), Computer Networks and Communications (53 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, Haisong Zhang, Yan Song, Jing Li, Qing Li, Yong Jiang, Kam‐Fai Wong and Bernardo Cuenca Grau. Their work appears in journals such as Frontiers in Veterinary Science, Transactions of the Association for Computational Linguistics, IEEE Transactions on Network and Service Management, Theory and Practice of Logic Programming 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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