Jun Lang
- Computer Vision and Pattern Recognition top 2%
- Applied Mathematics top 5%
- Artificial Intelligence top 10%
- Mathematical Physics top 10%
- Information Systems top 10%
- Co-authors
- Ran TaoYue WangDavid B. StewartQiwen RanCatriona SymeClodagh O’GormanGreg D. WellsJill Hamilton
- Topics
- Chaos-based Image/Signal Encryption (17 papers)Mathematical Analysis and Transform Methods (15 papers)Advanced Steganography and Watermarking Techniques (10 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Lang
45 papers receiving 751 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 536
- Applied Mathematics 177
- Artificial Intelligence 142
- Mathematical Physics 74
- Information Systems 72
Countries citing papers authored by Jun Lang
This map shows the geographic impact of Jun Lang'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 Jun Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lang more than expected).
Fields of papers citing papers by Jun Lang
This network shows the impact of papers produced by Jun Lang. 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 Jun Lang. The network helps show where Jun Lang may publish in the future.
Co-authorship network of co-authors of Jun Lang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Lang. A scholar is included among the top collaborators of Jun Lang 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 Jun Lang. Jun Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Dependency Parsing with Partial Annotations: An Empirical Comparison | 4 |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 79 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 98 | |
| 19 | 1 | |
| 20 | 2 |
About Jun Lang
Jun Lang is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 53 papers that have together received 783 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (17 papers), Mathematical Analysis and Transform Methods (15 papers) and Advanced Steganography and Watermarking Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (536 citations), Applied Mathematics (177 citations) and Acoustics and Ultrasonics (8 citations). Jun Lang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ran Tao, Yue Wang, Yue Wang, David B. Stewart, Yue Wang, Yue Wang, Qiwen Ran, Catriona Syme, Clodagh O’Gorman and Greg D. Wells. Their work appears in journals such as Scientific Reports, Food Chemistry and Hypertension.
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.