Baolin Peng

4.4k citations
66 papers · 2.0k · h-index 20

Impact in

Papers in

    • Topic Modeling 43
    • Natural Language Processing Techniques 25
    • Speech and dialogue systems 24
    • Sentiment Analysis and Opinion Mining 8
    • Advanced Text Analysis Techniques 6
    • Multi-Agent Systems and Negotiation 5
    • Text and Document Classification Technologies 5
    • Multimodal Machine Learning Applications 6

Baolin Peng

61 papers receiving 1.9k citations

Peers

Baolin Peng
Comparison fields: 5 of 104
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 341
  • Signal Processing 174
  • Information Systems 160
  • Health Informatics 9
Replace Yukun Li with:
Yukun Li China
Gongshen Liu China
Zhengxiao Du China
Angela Fan United States
Mirza Omer Beg Pakistan
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Xiaorui Liu United States
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Citations per field
00.5×5×10×15.5×
Yukun Li · 1×
Citations per year

Countries citing papers authored by Baolin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Baolin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Computational Networks and the Computational Network Toolkit
2014272
2 2014233
3 2018137
4 2018122
5 2020112
6 2017104
7 201494
8 202087
9 202175
10 202161
11 201957
12 202052
13 201851
14 201549
15 201544
16 201431
17 201727
18 202426
19 201424
20 201423

About Baolin Peng

Baolin Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Pollution and Statistical and Nonlinear Physics, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (25 papers), Speech and dialogue systems (24 papers), Sentiment Analysis and Opinion Mining (8 papers), Multimodal Machine Learning Applications (6 papers), Advanced Text Analysis Techniques (6 papers), Multi-Agent Systems and Negotiation (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (341 citations), Signal Processing (174 citations), Information Systems (160 citations) and Health Informatics (9 citations). Baolin Peng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jianfeng Gao, Kam‐Fai Wong, Kaisheng Yao, Dong Yu, Geoffrey Zweig, Xiujun Li, Jinchao Li, Yangyang Shi, Yu Zhang and Chunyuan Li. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Construction and Building Materials, Frontiers of Computer Science, Transactions of the Association for Computational Linguistics and Information Systems Frontiers.

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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