Guodong Cong
- Sociology and Political Science top 5%
- Education top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Tinggui ChenJianjun YangLijuan PengJingtao RongGongfa LiYulong WangGuoping LiChonghuan Xu
- Topics
- Complex Network Analysis Techniques (12 papers)Opinion Dynamics and Social Influence (12 papers)Digital Marketing and Social Media (11 papers)
- Cited by
- Computer Science ApplicationsStatistical and Nonlinear PhysicsInformation Systems and Management
- Journals
- PLoS ONEInternational Journal of Environmental Research and Public HealthFrontiers in Psychology
- Partner nations
- ChinaUnited States
In The Last Decade
Guodong Cong
34 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Sociology and Political Science 302
- Education 240
- Information Systems 187
- Statistical and Nonlinear Physics 181
- Artificial Intelligence 149
Countries citing papers authored by Guodong Cong
This map shows the geographic impact of Guodong Cong'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 Guodong Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guodong Cong more than expected).
Fields of papers citing papers by Guodong Cong
This network shows the impact of papers produced by Guodong Cong. 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 Guodong Cong. The network helps show where Guodong Cong may publish in the future.
Co-authorship network of co-authors of Guodong Cong
This figure shows the co-authorship network connecting the top 25 collaborators of Guodong Cong. A scholar is included among the top collaborators of Guodong Cong 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 Guodong Cong. Guodong Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 64 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | 30 | |
| 14 | 11 | |
| 15 | 24 | |
| 16 | 26 | |
| 17 | 32 | |
| 18 | 13 | |
| 19 | Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemicbreakdown → | 349 |
| 20 | 42 |
About Guodong Cong
Guodong Cong is a scholar working on Statistical and Nonlinear Physics, Business and International Management and Communication, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (12 papers) and Digital Marketing and Social Media (11 papers). The work is most often cited by research in Computer Science Applications (101 citations), Statistical and Nonlinear Physics (181 citations) and Information Systems and Management (100 citations). Guodong Cong has collaborated with scholars based in China and United States. Frequent co-authors include Tinggui Chen, Jianjun Yang, Lijuan Peng, Jingtao Rong, Gongfa Li, Yulong Wang, Guoping Li, Guoping Li, Chonghuan Xu and Jing Fang. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Frontiers in Psychology.
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.