Bin Liang

2.3k total citations · 1 hit paper
92 papers, 1.2k citations indexed

About

Bin Liang is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Bin Liang has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Bin Liang's work include Topic Modeling (31 papers), Sentiment Analysis and Opinion Mining (28 papers) and Advanced Text Analysis Techniques (15 papers). Bin Liang is often cited by papers focused on Topic Modeling (31 papers), Sentiment Analysis and Opinion Mining (28 papers) and Advanced Text Analysis Techniques (15 papers). Bin Liang collaborates with scholars based in China, Hong Kong and United Kingdom. Bin Liang's co-authors include Ruifeng Xu, Lin Gui, Erik Cambria, Hang Su, Min Yang, Yulan He, Jiachen Du, Min Yang, Yifan Yu and Shumei Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Water Research.

In The Last Decade

Bin Liang

81 papers receiving 1.2k citations

Hit Papers

Aspect-based sentiment analysis via affective knowledge e... 2021 2026 2022 2024 2021 100 200 300

Peers

Bin Liang
Comparison fields: 5 of 111
  • Artificial Intelligence 892
  • Electrical and Electronic Engineering 139
  • Information Systems 118
  • Computer Vision and Pattern Recognition 114
  • Experimental and Cognitive Psychology 80
Replace Rishabh Gupta with:
Rishabh Gupta Canada
Sanjay Chakraborty India
Eduardo Fidalgo Spain
Chengming Li China
Manish Shrivastava India
Benyou Wang China
Shahla Nemati Iran
Rishabh Gupta Canada View profile →
Citations per field, relative to Bin Liang
Bin Liang · 1×
Citations per year, relative to Bin Liang
Bin Liang · 1×

Countries citing papers authored by Bin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Liang. A scholar is included among the top collaborators of Bin Liang 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 Bin Liang. Bin Liang 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
# Work Indexed citations
1 2
2 0
3 1
4 0
5 1
6 1
7 0
8 0
9 1
10 1
11 1
12 3
13 1
14 5
15 31
16 19
17
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks breakdown →
369
18 67
19
Reaction progress and kinetics of CO2 with glycerol in the presence of DBU
2
20
Application of the trihedral corner reflector in RCS calibration test
1

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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