Yucheng Jin
- Plant Science top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Mechanical Engineering
- Co-authors
- Katrien VerbertLi ChenJizhan LiuNyi Nyi HtunNava TintarevJizhang WangPingping LiBinbin Xie
- Topics
- Recommender Systems and Techniques (11 papers)Smart Agriculture and AI (10 papers)Covalent Organic Framework Applications (8 papers)
- Journals
- Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología
In The Last Decade
Yucheng Jin
61 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Plant Science 244
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 167
- Information Systems 151
- Mechanical Engineering 82
Countries citing papers authored by Yucheng Jin
This map shows the geographic impact of Yucheng Jin'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 Yucheng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yucheng Jin more than expected).
Fields of papers citing papers by Yucheng Jin
This network shows the impact of papers produced by Yucheng Jin. 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 Yucheng Jin. The network helps show where Yucheng Jin may publish in the future.
Co-authorship network of co-authors of Yucheng Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Yucheng Jin. A scholar is included among the top collaborators of Yucheng Jin 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 Yucheng Jin. Yucheng Jin 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 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | Research progress of autonomous navigation technology for multi-agricultural scenesbreakdown → | 75 |
| 13 | 5 | |
| 14 | 30 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | Research on Readers'Interests in Patent Literature and Its Topology Representation | 3 |
About Yucheng Jin
Yucheng Jin is a scholar working on Computer Science Applications, Neuropsychology and Physiological Psychology and Applied Psychology, having authored 73 papers that have together received 916 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Smart Agriculture and AI (10 papers) and Covalent Organic Framework Applications (8 papers). The work is most often cited by research in Health Informatics (17 citations), Human-Computer Interaction (48 citations) and Computer Vision and Pattern Recognition (167 citations). Yucheng Jin has collaborated with scholars based in China, Hong Kong and Belgium. Frequent co-authors include Katrien Verbert, Li Chen, Jizhan Liu, Nyi Nyi Htun, Nava Tintarev, Jizhang Wang, Pingping Li, Binbin Xie, Shengyi Zhao and Nava Tintarev. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.