Wei Kuang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
-
- Image and Video Quality Assessment 12
- Advanced Vision and Imaging 9
- Advanced Data Compression Techniques 7
-
- Video Coding and Compression Technologies 18
- Co-authors
- Yui‐Lam Chan (16 shared papers)Sik‐Ho Tsang (16 shared papers)Wan-Chi Siu (9 shared papers)Lei Wu (5 shared papers)Jiali Tan (10 shared papers)Guowen Hu (3 shared papers)Yong Chen (2 shared papers)Haili Lang (2 shared papers)
- Journals
- Current Stem Cell Research & Therapy (3 papers)IEEE Access (2 papers)IEEE Transactions on Multimedia (2 papers)In Vitro Cellular & Developmental Biology - Animal (2 papers)Bone Research (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wei Kuang
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 436
- Signal Processing 218
- Computer Vision and Pattern Recognition 246
- Molecular Biology 596
- Genetics 87
Countries citing papers authored by Wei Kuang
This map shows the geographic impact of Wei Kuang'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 Wei Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Kuang more than expected).
Fields of papers citing papers by Wei Kuang
This network shows the impact of papers produced by Wei Kuang. 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 Wei Kuang. The network helps show where Wei Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Kuang, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 166 | |
| 2 | 2015 | 91 | |
| 3 | 2008 | 79 | |
| 4 | 2016 | 57 | |
| 5 | 2016 | 55 | |
| 6 | 2016 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2017 | 44 | |
| 9 | 2019 | 43 | |
| 10 | 2017 | 40 | |
| 11 | 2018 | 35 | |
| 12 | 2021 | 32 | |
| 13 | Macropinocytosis: mechanism and targeted therapy in cancers. | 2021 | 31 |
| 14 | 2019 | 30 | |
| 15 | 2016 | 27 | |
| 16 | 2010 | 26 | |
| 17 | 2009 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2016 | 20 | |
| 20 | 2017 | 17 |
About Wei Kuang
Wei Kuang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Cancer Research and Genetics, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (18 papers), Image and Video Quality Assessment (12 papers), Advanced Vision and Imaging (9 papers), Advanced Data Compression Techniques (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Mesenchymal stem cell research (6 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Cancer Research (436 citations), Signal Processing (218 citations), Computer Vision and Pattern Recognition (246 citations), Molecular Biology (596 citations) and Genetics (87 citations). Wei Kuang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yui‐Lam Chan, Sik‐Ho Tsang, Wan-Chi Siu, Lei Wu, Jiali Tan, Guowen Hu, Yong Chen, Haili Lang, Yao Lin and Bo Zhang. Their work appears in journals such as Current Stem Cell Research & Therapy, IEEE Access, IEEE Transactions on Multimedia, In Vitro Cellular & Developmental Biology - Animal and Bone Research.
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.