Xiaochong Lan
Impact in
- General Social Sciences top 10%
- Computational and Text Analysis Methods
Papers in
-
- Recommender Systems and Techniques 2
- Web Data Mining and Analysis 1
-
- Topic Modeling 3
- Multi-Agent Systems and Negotiation 1
- Co-authors
- Yong Li (6 shared papers)Chen Gao (4 shared papers)Jinghua Piao (3 shared papers)Fengli Xu (2 shared papers)Jingtao Ding (1 shared paper)Yuan Yuan (1 shared paper)Nian Li (1 shared paper)Depeng Jin (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (2 papers)Humanities and Social Sciences Communications (1 paper)Patterns (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaochong Lan
9 papers receiving 186 citations
Xiaochong Lan's Hit Papers
Peers
Comparison fields: 5 of 55
- General Social Sciences 9
- Health Informatics 3
- Artificial Intelligence 58
- General Decision Sciences 3
- Management Science and Operations Research 19
Countries citing papers authored by Xiaochong Lan
This map shows the geographic impact of Xiaochong Lan'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 Xiaochong Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochong Lan more than expected).
Fields of papers citing papers by Xiaochong Lan
This network shows the impact of papers produced by Xiaochong Lan. 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 Xiaochong Lan. The network helps show where Xiaochong Lan may publish in the future.
Co-authors
The 23 scholars most cited alongside Xiaochong Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large language models empowered agent-based modeling and simulation: a survey and perspectives Hit paper breakdown → | 2024 | 75 |
| 2 | 2023 | 57 | |
| 3 | 2024 | 25 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2025 | 7 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 1 |
About Xiaochong Lan
Xiaochong Lan is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science and Computer Networks and Communications, having authored 9 papers that have together received 191 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Recommender Systems and Techniques (2 papers), Web Data Mining and Analysis (1 paper), Mental Health via Writing (1 paper), Sharing Economy and Platforms (1 paper), Transportation and Mobility Innovations (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in General Social Sciences (9 citations), Health Informatics (3 citations), Artificial Intelligence (58 citations), General Decision Sciences (3 citations) and Management Science and Operations Research (19 citations). Xiaochong Lan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Li, Chen Gao, Jinghua Piao, Fengli Xu, Jingtao Ding, Yuan Yuan, Nian Li, Depeng Jin, Zhihong Lu and Hancheng Cao. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Humanities and Social Sciences Communications, Patterns, CHI Conference on Human Factors in Computing Systems and SSRN Electronic Journal.
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.