Mochen Yang
Impact in
- General Social Sciences top 10%
- Computational and Text Analysis Methods
- Sociology and Political Science top 10%
- Digital Marketing and Social Media
Papers in
-
- Privacy-Preserving Technologies in Data 2
- Topic Modeling 2
- Explainable Artificial Intelligence (XAI) 2
-
- Advanced Causal Inference Techniques 2
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Gediminas Adomavičius (10 shared papers)Yuqing Ren (3 shared papers)Gordon Burtch (2 shared papers)Alok Kumar Gupta (4 shared papers)Xuan Bi (4 shared papers)Che-Wei Liu (1 shared paper)Ming‐Hui Wen (1 shared paper)Jingjing Zhang (1 shared paper)
- Journals
- Information Systems Research (6 papers)MIS Quarterly (2 papers)ACM Transactions on Computer-Human Interaction (2 papers)Management Science (2 papers)Production and Operations Management (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Mochen Yang
16 papers receiving 340 citations
Mochen Yang's Hit Papers
Peers
Comparison fields: 5 of 52
- General Social Sciences 15
- Sociology and Political Science 153
- Communication 23
- Management Information Systems 27
- Marketing 18
Countries citing papers authored by Mochen Yang
This map shows the geographic impact of Mochen Yang'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 Mochen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mochen Yang more than expected).
Fields of papers citing papers by Mochen Yang
This network shows the impact of papers produced by Mochen Yang. 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 Mochen Yang. The network helps show where Mochen Yang may publish in the future.
Co-authors
The 18 scholars most cited alongside Mochen Yang, 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 | Understanding User-Generated Content and Customer Engagement on Facebook Business Pages Hit paper breakdown → | 2019 | 166 |
| 2 | 2018 | 71 | |
| 3 | 2023 | 19 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2024 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2022 | 5 | |
| 12 | Relationship Between Online and Offline Social Capital: Evidence from a Social Network Site in China | 2013 | 4 |
| 13 | 2025 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 |
About Mochen Yang
Mochen Yang is a scholar working on Artificial Intelligence, Statistics and Probability, Management Information Systems, Safety Research and Management Science and Operations Research, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Privacy-Preserving Technologies in Data (2 papers), Advanced Causal Inference Techniques (2 papers), Topic Modeling (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Ethics and Social Impacts of AI (2 papers), Auction Theory and Applications (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in General Social Sciences (15 citations), Sociology and Political Science (153 citations), Communication (23 citations), Management Information Systems (27 citations) and Marketing (18 citations). Mochen Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gediminas Adomavičius, Yuqing Ren, Gordon Burtch, Alok Kumar Gupta, Xuan Bi, Che-Wei Liu, Ming‐Hui Wen, Jingjing Zhang, Antino Kim and Hillol Bala. Their work appears in journals such as Information Systems Research, MIS Quarterly, ACM Transactions on Computer-Human Interaction, Management Science and Production and Operations Management.
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.