Liangqiang Li
- Sociology and Political Science top 10%
- Marketing top 5%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Nora Bakabbey KulboJiaming FangPrince Clement AddoHua YuanDebo ChenLiang YangBaojun MaNan Zhang
- Topics
- Digital Marketing and Social Media (10 papers)Sentiment Analysis and Opinion Mining (6 papers)Complex Network Analysis Techniques (4 papers)
In The Last Decade
Liangqiang Li
27 papers receiving 472 citations
Peers
Comparison fields: 5 of 99
- Sociology and Political Science 158
- Marketing 155
- Economics and Econometrics 130
- Artificial Intelligence 68
- Molecular Biology 61
Countries citing papers authored by Liangqiang Li
This map shows the geographic impact of Liangqiang Li'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 Liangqiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangqiang Li more than expected).
Fields of papers citing papers by Liangqiang Li
This network shows the impact of papers produced by Liangqiang Li. 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 Liangqiang Li. The network helps show where Liangqiang Li may publish in the future.
Co-authorship network of co-authors of Liangqiang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Liangqiang Li. A scholar is included among the top collaborators of Liangqiang Li 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 Liangqiang Li. Liangqiang Li 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 | 16 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | An Analysis of the Characteristics and Evolution of China's Pension Policy Based on Text Mining | 1 |
| 10 | 22 | |
| 11 | 3 | |
| 12 | Personalized Music Recommendation Based on Style Type | 0 |
| 13 | 233 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | Exploring the Influential Factors of Consumers’ Willingness to Purchase Fresh Agricultural Products Online: A Meta-Analysis | 2 |
| 17 | Influence of Media Richness of E-WOM on Consumers' Mental Imagery and Attitudes | 1 |
| 18 | Semantic Search for Public Opinions on Urban Affairs: A Probabilistic Topic Modeling-Based Approach | 4 |
| 19 | 1 | |
| 20 | 4 |
About Liangqiang Li
Liangqiang Li is a scholar working on General Social Sciences, Information Systems and Management and Marketing, having authored 32 papers that have together received 487 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (10 papers), Sentiment Analysis and Opinion Mining (6 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Marketing (155 citations), Information Systems and Management (37 citations) and Economics and Econometrics (130 citations). Liangqiang Li has collaborated with scholars based in China, India and Japan. Frequent co-authors include Nora Bakabbey Kulbo, Jiaming Fang, Prince Clement Addo, Hua Yuan, Debo Chen, Liang Yang, Baojun Ma, Nan Zhang, Guannan Liu and Chuan Wang. Their work appears in journals such as Scientific Reports, Computers in Human Behavior and Journal of the Association for Information Systems.
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.