Zhanlin Ji
Impact in
- Ceramics and Composites top 5%
- Advanced ceramic materials synthesis
- Building and Construction top 5%
- Smart Parking Systems Research
- Recycling and utilization of industrial and municipal waste in materials production
Papers in
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- IoT and Edge/Fog Computing 14
- Caching and Content Delivery 9
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- Advanced Neural Network Applications 13
- Context-Aware Activity Recognition Systems 11
- Co-authors
- Иван Ганчев (98 shared papers)Máirtín O’Droma (48 shared papers)Xueji Zhang (12 shared papers)Haiyang Zhang (21 shared papers)Li Zhao (5 shared papers)Chenxu Dai (18 shared papers)Yingchao Dong (6 shared papers)Stuart Hampshire (3 shared papers)
In The Last Decade
Zhanlin Ji
114 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Ceramics and Composites 108
- Building and Construction 234
- Media Technology 128
- Computer Vision and Pattern Recognition 278
- Computer Networks and Communications 270
Countries citing papers authored by Zhanlin Ji
This map shows the geographic impact of Zhanlin Ji'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 Zhanlin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanlin Ji more than expected).
Fields of papers citing papers by Zhanlin Ji
This network shows the impact of papers produced by Zhanlin Ji. 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 Zhanlin Ji. The network helps show where Zhanlin Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanlin Ji, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2010 | 94 | |
| 3 | 2011 | 82 | |
| 4 | 2014 | 68 | |
| 5 | 2021 | 60 | |
| 6 | 2022 | 52 | |
| 7 | 2014 | 48 | |
| 8 | 2023 | 34 | |
| 9 | 2023 | 33 | |
| 10 | 2021 | 31 | |
| 11 | 2024 | 27 | |
| 12 | 2023 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2024 | 21 | |
| 17 | 2011 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2024 | 13 |
About Zhanlin Ji
Zhanlin Ji is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Information Systems, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (14 papers), Advanced Neural Network Applications (13 papers), AI in cancer detection (12 papers), Context-Aware Activity Recognition Systems (11 papers), Recommender Systems and Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Cutaneous Melanoma Detection and Management (9 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Ceramics and Composites (108 citations), Building and Construction (234 citations), Media Technology (128 citations), Computer Vision and Pattern Recognition (278 citations) and Computer Networks and Communications (270 citations). Zhanlin Ji has collaborated with scholars based in China, Ireland and Bulgaria. Frequent co-authors include Иван Ганчев, Máirtín O’Droma, Xueji Zhang, Haiyang Zhang, Li Zhao, Chenxu Dai, Yingchao Dong, Stuart Hampshire, Guangyao Meng and Jianer Zhou. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, PLoS ONE, Electronics and EURASIP Journal on Wireless Communications and Networking.
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.