Cong Wang

1.3k citations
99 papers · 894 · h-index 18

Impact in

Papers in

    • Advanced Text Analysis Techniques 10
    • Natural Language Processing Techniques 7
    • Text and Document Classification Technologies 7
    • Topic Modeling 6
    • Web Data Mining and Analysis 12
    • Service-Oriented Architecture and Web Services 6

Cong Wang

89 papers receiving 840 citations

Peers

Cong Wang
Comparison fields: 5 of 105
  • Artificial Intelligence 420
  • Computer Networks and Communications 227
  • Information Systems 180
  • Computer Vision and Pattern Recognition 159
  • Signal Processing 67
Replace Huan Zhang with:
Huan Zhang China
Chun Chen China
Cheng Feng China
Gong Zhang China
Lu Zhou China
Donghyun Kim United States
Agostino Forestiero Italy
Benxiong Huang China
Kangfeng Zheng China
Imran Memon China
Cong Wang relative to Huan Zhang China Huan Zhang's profile →
Citations per field
00.5×10×20×30×38×
Huan Zhang · 1×
Citations per year

Countries citing papers authored by Cong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong 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 Cong Wang Line = papers co-authored together Cong Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201664
2 201456
3 201843
4 201640
5 201539
6 201238
7 201334
8 201331
9 201331
10 201825
11 201825
12 201624
13 201921
14 201920
15 202019
16 201319
17 201817
18 201717
19 200817
20 201015

About Cong Wang

Cong Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 99 papers that have together received 894 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (12 papers), Advanced Text Analysis Techniques (10 papers), Natural Language Processing Techniques (7 papers), Text and Document Classification Technologies (7 papers), Advanced Algorithms and Applications (6 papers), Service-Oriented Architecture and Web Services (6 papers), Topic Modeling (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Artificial Intelligence (420 citations), Computer Networks and Communications (227 citations), Information Systems (180 citations), Computer Vision and Pattern Recognition (159 citations) and Signal Processing (67 citations). Cong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yixian Yang, Gang Xu, Zhibo Pang, Kai Kang, Lixiang Li, Haiyong Luo, Fang Zhao, Wenhua Shao, Haipeng Peng and Li Da Xu. Their work appears in journals such as Quantum Information Processing, IEEE Access, IEEE Journal of Biomedical and Health Informatics, Physica A Statistical Mechanics and its Applications and Frontiers in Plant Science.

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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