Shaohan Huang

4.0k citations
61 papers · 1.7k · h-index 21

Impact in

Papers in

    • Topic Modeling 26
    • Natural Language Processing Techniques 25
    • Anomaly Detection Techniques and Applications 12
    • Speech Recognition and Synthesis 5
    • Software System Performance and Reliability 11
    • Network Security and Intrusion Detection 10

Shaohan Huang

53 papers receiving 1.6k citations

Peers

Shaohan Huang
Comparison fields: 5 of 96
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 339
  • Computer Networks and Communications 277
  • Information Systems 257
  • Health Informatics 13
Replace Palash Goyal with:
Palash Goyal United States
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Citations per field
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Citations per year

Countries citing papers authored by Shaohan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2 2017199
3 2020144
4 2021121
5 2017117
6 202088
7 202284
8 202061
9 201960
10 202246
11 202242
12 202136
13 202134
14
TableBank: Table Benchmark for Image-based Table Detection and Recognition
201933
15 202333
16 202328
17 202327
18 202426
19 202325
20 202023

About Shaohan Huang

Shaohan Huang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (25 papers), Anomaly Detection Techniques and Applications (12 papers), Software System Performance and Reliability (11 papers), Network Security and Intrusion Detection (10 papers), Multimodal Machine Learning Applications (5 papers), Software Engineering Research (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (339 citations), Computer Networks and Communications (277 citations), Information Systems (257 citations) and Health Informatics (13 citations). Shaohan Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Furu Wei, Ming Zhou, Li Dong, Zhongzhi Luan, Carol Fung, Hailong Yang, Qingyu Zhou, Nan Yang, Tiejun Zhao and Chuanqi Tan. Their work appears in journals such as IEEE Transactions on Network and Service Management, Biomarker Research, Complexity, IEEE Transactions on Knowledge and Data Engineering and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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