Hongli Deng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Plant Science
- Media Technology top 10%
- Co-authors
- Eric N. MortensenLinda G. ShapiroThomas G. DietterichLei ZhangWei ZhangP.L. VenetianerSalvador Ruíz-CorreaDavid A. Lytle
- Topics
- Network Security and Intrusion Detection (8 papers)Anomaly Detection Techniques and Applications (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Partner nations
- ChinaUnited StatesMoldova
In The Last Decade
Hongli Deng
33 papers receiving 522 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 304
- Artificial Intelligence 116
- Aerospace Engineering 116
- Plant Science 86
- Media Technology 41
Countries citing papers authored by Hongli Deng
This map shows the geographic impact of Hongli 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 Hongli Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongli Deng more than expected).
Fields of papers citing papers by Hongli Deng
This network shows the impact of papers produced by Hongli 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 Hongli Deng. The network helps show where Hongli Deng may publish in the future.
Co-authorship network of co-authors of Hongli Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Hongli Deng. A scholar is included among the top collaborators of Hongli 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 Hongli Deng. Hongli 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 | 3 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | On Relics of Totem Worship of the Qiang People | 0 |
| 16 | 3 | |
| 17 | 27 | |
| 18 | 112 | |
| 19 | 3D Object Reconstruction using Line and Point Feature Matching. | 1 |
| 20 | 5 |
About Hongli Deng
Hongli Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecological Modeling, having authored 39 papers that have together received 569 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Ecological Modeling (36 citations) and Media Technology (41 citations). Hongli Deng has collaborated with scholars based in China, United States and Moldova. Frequent co-authors include Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich, Lei Zhang, Wei Zhang, P.L. Venetianer, Salvador Ruíz-Correa, David A. Lytle, Andrew R. Moldenke and Robert Paasch. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.
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.