Changlong Sun

1.4k citations
79 papers · 914 · h-index 18

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Emotion and Mood Recognition

Papers in

Changlong Sun

63 papers receiving 881 citations

Peers

Changlong Sun
Comparison fields: 5 of 76
  • Artificial Intelligence 666
  • Experimental and Cognitive Psychology 132
  • Law 64
  • Political Science and International Relations 152
  • Transportation 26
Replace Andrea Cimino with:
Andrea Cimino Italy
Nicola Lettieri Italy
Han Wu China
Zihan Wang China
Joachim Fischer Germany
Desmond Elliott Denmark
Deepa Anand India
Alfonso Guarino Italy
Ankita Gandhi India
Luciano Coutinho Brazil
Changlong Sun relative to Andrea Cimino Italy Andrea Cimino's profile →
Citations per field
00.5×10×13.8×
Andrea Cimino · 1×
Citations per year

Countries citing papers authored by Changlong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019158
2 202059
3 202248
4 202044
5 202137
6 202135
7 202434
8 201932
9 201931
10 202029
11 202125
12 202122
13 202220
14 201820
15 201919
16 202318
17 202317
18 202217
19 201917
20 201915

About Changlong Sun

Changlong Sun is a scholar working on Artificial Intelligence, Political Science and International Relations, Information Systems, Law and Economics and Econometrics, having authored 79 papers that have together received 914 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (20 papers), Sentiment Analysis and Opinion Mining (17 papers), Artificial Intelligence in Law (16 papers), Advanced Text Analysis Techniques (13 papers), Speech and dialogue systems (7 papers), Legal Education and Practice Innovations (7 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (666 citations), Experimental and Cognitive Psychology (132 citations), Law (64 citations), Political Science and International Relations (152 citations) and Transportation (26 citations). Changlong Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shoushan Li, Xiaozhong Liu, Guodong Zhou, Luo Si, Yangyang Kang, Dong Zhang, Qiaoming Zhu, Fei Wu, Yating Zhang and Kun Kuang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Artificial Intelligence Review, Sustainability, Computational Intelligence and Neuroscience and Advanced Functional Materials.

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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