Weijie Kong
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Renewable Energy, Sustainability and the Environment
- Topics
- Electrocatalysts for Energy Conversion (6 papers)Human Pose and Action Recognition (4 papers)Advanced battery technologies research (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
In The Last Decade
Weijie Kong
17 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 402
- Computer Vision and Pattern Recognition 272
- Computer Networks and Communications 232
- Biomedical Engineering 124
- Renewable Energy, Sustainability and the Environment 97
Countries citing papers authored by Weijie Kong
This map shows the geographic impact of Weijie Kong'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 Weijie Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Kong more than expected).
Fields of papers citing papers by Weijie Kong
This network shows the impact of papers produced by Weijie Kong. 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 Weijie Kong. The network helps show where Weijie Kong may publish in the future.
Co-authorship network of co-authors of Weijie Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Weijie Kong. A scholar is included among the top collaborators of Weijie Kong 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 Weijie Kong. Weijie Kong 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 89 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detectionbreakdown → | 376 |
| 17 | 1 | |
| 18 | 76 | |
| 19 | 3 | |
| 20 | 1 |
About Weijie Kong
Weijie Kong is a scholar working on Business and International Management, Renewable Energy, Sustainability and the Environment and General Materials Science, having authored 20 papers that have together received 598 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (6 papers), Human Pose and Action Recognition (4 papers) and Advanced battery technologies research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Artificial Intelligence (402 citations) and Computer Networks and Communications (232 citations). Weijie Kong has collaborated with scholars based in China, Macao and Singapore. Frequent co-authors include Ge Li, Jia-Xing Zhong, Thomas H. Li, Nannan Li, Shan Liu, Fei Lu, Min Zhou, Hangfei Li, Nannan Li and Xin Zhou. Their work appears in journals such as Angewandte Chemie International Edition, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.