Hong Cheng
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Plant Science
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Shuihua WangPreetha PhillipsMing YangBin LiuYuxiu SuiYudong ZhangZhicong HuangLutz Damerow
- Topics
- Cryptography and Data Security (13 papers)Privacy-Preserving Technologies in Data (12 papers)Brain Tumor Detection and Classification (8 papers)
- Journals
- IEEE AccessIEEE Transactions on Intelligent Transportation SystemsJournal of Alzheimer s Disease
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hong Cheng
56 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 467
- Computer Vision and Pattern Recognition 295
- Neurology 270
- Plant Science 145
- Radiology, Nuclear Medicine and Imaging 135
Countries citing papers authored by Hong Cheng
This map shows the geographic impact of Hong Cheng'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 Hong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Cheng more than expected).
Fields of papers citing papers by Hong Cheng
This network shows the impact of papers produced by Hong Cheng. 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 Hong Cheng. The network helps show where Hong Cheng may publish in the future.
Co-authorship network of co-authors of Hong Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Cheng. A scholar is included among the top collaborators of Hong Cheng 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 Hong Cheng. Hong Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | Falcon: Fast Spectral Inference on Encrypted Data | 8 |
| 10 | 18 | |
| 11 | 13 | |
| 12 | Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Poolingbreakdown → | 257 |
| 13 | 6 | |
| 14 | 1 | |
| 15 | Detection of multi-corn kernel embryos characteristic using machine vision. | 5 |
| 16 | 4 | |
| 17 | 7 | |
| 18 | achieving efficient dynamic cryptographic access control in cloud storage | 7 |
| 19 | A novel access scheduling algorithm in multi-channel multi-radio wireless mesh networks | 1 |
| 20 | Corn breed recognition based on support vector machine. | 4 |
About Hong Cheng
Hong Cheng is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (12 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Neurology (270 citations), Artificial Intelligence (467 citations) and Computer Vision and Pattern Recognition (295 citations). Hong Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuihua Wang, Preetha Phillips, Ming Yang, Bin Liu, Yuxiu Sui, Yudong Zhang, Zhicong Huang, Lutz Damerow, Yurui Sun and Michael Blanke. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Journal of Alzheimer s Disease.
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.