Liang He

3.8k citations
193 papers · 2.2k indexed · 1 hit paper · h-index 23
Topics
Topic Modeling (52 papers)Sentiment Analysis and Opinion Mining (26 papers)Recommender Systems and Techniques (25 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Liang He

177 papers receiving 2.2k citations

Hit Papers

A survey of human-in-the-loop for machine learning20222026202320242022100200300

Peers

Liang He
Comparison fields: 5 of 142
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 575
  • Information Systems 371
  • Sociology and Political Science 144
  • Signal Processing 103
Replace Giovanni Acampora with:
Giovanni Acampora Italy
Tom Young Singapore
Shimei Pan United States
Achyut Shankar India
Γεώργιος Μεδίτσκος Greece
Akshi Kumar India
Simon Colton United Kingdom
Jafar A. Alzubi Jordan
Surbhi Bhatia Saudi Arabia
Benoît Frénay‬ Belgium
Liang He relative to Giovanni Acampora Italy Giovanni Acampora's profile →
Citations per field
00.5×4.5×
Giovanni Acampora · 1×
Citations per year

Countries citing papers authored by Liang He

Since Specialization
Citations

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

Fields of papers citing papers by Liang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang He

This figure shows the co-authorship network connecting the top 25 collaborators of Liang He. A scholar is included among the top collaborators of Liang He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang He. Liang He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 4
6 6
7 7
8 2
9 1
10 4
11 35
12 4
13 3
14 2
15 6
16 3
17 30
18 4
19 4
20
Design for the Effective Attack Area of A Guided Bomb With INS/SPS
0

About Liang He

Liang He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 193 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (52 papers), Sentiment Analysis and Opinion Mining (26 papers) and Recommender Systems and Techniques (25 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (575 citations) and Health Informatics (28 citations). Liang He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qinmin Hu, Jie Zhou, Jimmy Xiangji Huang, Xingjiao Wu, Luwei Xiao, Qin Chen, Tianlong Ma, Junhang Zhang, Yixuan Sun and Wen Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and IEEE Transactions on Geoscience and Remote Sensing.

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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