Chen Liang
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 5%
- Communication
- Topics
- Topic Modeling (16 papers)Advanced Text Analysis Techniques (11 papers)Natural Language Processing Techniques (7 papers)
- Journals
- Scientific ReportsCognitive ScienceRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Chen Liang
32 papers receiving 607 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 509
- Information Systems 200
- Computer Vision and Pattern Recognition 128
- Computer Science Applications 79
- Communication 30
Countries citing papers authored by Chen Liang
This map shows the geographic impact of Chen 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 Chen Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Liang more than expected).
Fields of papers citing papers by Chen Liang
This network shows the impact of papers produced by Chen 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 Chen Liang. The network helps show where Chen Liang may publish in the future.
Co-authorship network of co-authors of Chen Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Liang. A scholar is included among the top collaborators of Chen 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 Chen Liang. Chen Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 82 | |
| 5 | 4 | |
| 6 | BBookX: Creating semi-automated textbooks to support student learning and decrease student costs | 2 |
| 7 | 38 | |
| 8 | 33 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 49 | |
| 13 | 72 | |
| 14 | 113 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | Expert Finding for Microblog Misinformation Identification | 13 |
| 18 | Topical Word Trigger Model for Keyphrase Extraction | 16 |
| 19 | 7 | |
| 20 | The Association Between Committees Responsible for Risk Management and the Disclosure Level of Financial Instruments Information Among Listed Companies in Malaysia | 2 |
About Chen Liang
Chen Liang is a scholar working on Artificial Intelligence, Communication and Information Systems, having authored 35 papers that have together received 644 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Advanced Text Analysis Techniques (11 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Computer Science Applications (79 citations) and Information Systems (200 citations). Chen Liang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include C. Lee Giles, Zhaohui Wu, Wenyi Huang, Bart Pursel, Prasenjit Mitra, Yang Liu, Yue Zhang, Yulong Chen, Xiao Yang and Jianbo Ye. Their work appears in journals such as Scientific Reports, Cognitive Science and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.