Jeremiah D. Deng
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 2%
- Information Systems top 2%
- Topics
- Advanced Image and Video Retrieval Techniques (23 papers)Image Retrieval and Classification Techniques (19 papers)Video Analysis and Summarization (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Partner nations
- New ZealandChinaItaly
In The Last Decade
Jeremiah D. Deng
83 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 750
- Computer Vision and Pattern Recognition 538
- Computer Networks and Communications 460
- Computational Theory and Mathematics 290
- Information Systems 285
Countries citing papers authored by Jeremiah D. Deng
This map shows the geographic impact of Jeremiah D. Deng'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 Jeremiah D. Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremiah D. Deng more than expected).
Fields of papers citing papers by Jeremiah D. Deng
This network shows the impact of papers produced by Jeremiah D. Deng. 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 Jeremiah D. Deng. The network helps show where Jeremiah D. Deng may publish in the future.
Co-authorship network of co-authors of Jeremiah D. Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremiah D. Deng. A scholar is included among the top collaborators of Jeremiah D. Deng 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 Jeremiah D. Deng. Jeremiah D. Deng 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 35 | |
| 12 | 21 | |
| 13 | An Agreement and Sparseness-based Learning Instance Selection and its Application to Subjective Speech Phenomena | 12 |
| 14 | 10 | |
| 15 | Proceedings of the 27th Conference on Image and Vision Computing New Zealand | 3 |
| 16 | 58 | |
| 17 | Image classification using labelled and unlabelled data | 3 |
| 18 | Content-based Profiling of Image Collections: a SOM-based Approach. | 1 |
| 19 | Content-based image collection profiling and comparison via self-organised maps | 1 |
| 20 | 9 |
About Jeremiah D. Deng
Jeremiah D. Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (23 papers), Image Retrieval and Classification Techniques (19 papers) and Video Analysis and Summarization (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (538 citations), Artificial Intelligence (750 citations) and Computer Networks and Communications (460 citations). Jeremiah D. Deng has collaborated with scholars based in New Zealand, China and Italy. Frequent co-authors include Jun Zhang, Yun Li, Tianlong Gu, Nikola Kasabov, Wei–Neng Chen, Martin Purvis, Qiang Yang, Xiaofang Liu, Zhi‐Hui Zhan and Brendon J. Woodford. Their work appears in journals such as NeuroImage, Scientific Reports 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.