Cong Xie
Impact in
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- Data Visualization and Analytics
- Global and Planetary Change top 10%
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
Papers in
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- Data Visualization and Analytics 13
- Advanced Neural Network Applications 3
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- Advanced Graph Neural Networks 3
- Co-authors
- Xin Huang (4 shared papers)Xing Fang (3 shared papers)Yuanli He (1 shared paper)Xiafei Fu (1 shared paper)Liangpei Zhang (1 shared paper)Zhihua Zhang (2 shared papers)Wei Yin (1 shared paper)Klaus Mueller (7 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (5 papers)International Journal of Digital Earth (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Scientific Reports (1 paper)Journal of the Energy Institute (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Xie
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 232
- Global and Planetary Change 225
- Environmental Engineering 120
- Genetics 75
- Media Technology 61
Countries citing papers authored by Cong Xie
This map shows the geographic impact of Cong Xie'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 Cong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Xie more than expected).
Fields of papers citing papers by Cong Xie
This network shows the impact of papers produced by Cong Xie. 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 Cong Xie. The network helps show where Cong Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Xie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 159 | |
| 2 | 2015 | 124 | |
| 3 | 2017 | 88 | |
| 4 | Distributed Power-law Graph Computing: Theoretical and Empirical Analysis | 2014 | 59 |
| 5 | 2013 | 51 | |
| 6 | 2016 | 50 | |
| 7 | 2017 | 47 | |
| 8 | 2014 | 43 | |
| 9 | 2022 | 38 | |
| 10 | 2018 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2019 | 30 | |
| 13 | 2017 | 26 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 22 | |
| 16 | 2021 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2018 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2016 | 15 |
About Cong Xie
Cong Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Global and Planetary Change and Computer Networks and Communications, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (13 papers), Flood Risk Assessment and Management (6 papers), Complex Network Analysis Techniques (4 papers), Advanced Neural Network Applications (3 papers), Land Use and Ecosystem Services (3 papers), Time Series Analysis and Forecasting (3 papers), Thermochemical Biomass Conversion Processes (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Global and Planetary Change (225 citations), Environmental Engineering (120 citations), Genetics (75 citations) and Media Technology (61 citations). Cong Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Huang, Xing Fang, Yuanli He, Xiafei Fu, Liangpei Zhang, Zhihua Zhang, Wei Yin, Klaus Mueller, Wei Xu and Wu-Jun Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Digital Earth, Journal of Agricultural and Food Chemistry, Scientific Reports and Journal of the Energy Institute.
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.