Yurong Cheng
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Computer Science Applications top 5%
- Co-authors
- Lei ChenGuoren WangYe YuanPhilip S. YuYongxin TongBoyang LiChristophe Giraud-CarrierYongjiao Sun
- Topics
- Mobile Crowdsensing and Crowdsourcing (9 papers)Data Management and Algorithms (9 papers)Transportation and Mobility Innovations (7 papers)
- Journals
- Expert Systems with ApplicationsMedicineIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yurong Cheng
30 papers receiving 403 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 127
- Information Systems 121
- Computer Networks and Communications 115
- Signal Processing 100
- Computer Science Applications 99
Countries citing papers authored by Yurong Cheng
This map shows the geographic impact of Yurong 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 Yurong Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurong Cheng more than expected).
Fields of papers citing papers by Yurong Cheng
This network shows the impact of papers produced by Yurong 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 Yurong Cheng. The network helps show where Yurong Cheng may publish in the future.
Co-authorship network of co-authors of Yurong Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yurong Cheng. A scholar is included among the top collaborators of Yurong 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 Yurong Cheng. Yurong 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 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 39 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 21 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | PROBLEMS ON THE GENESIS OF THE HIGH-GRADE ORE IN THE PRE-SINIAN (PRE-CAMBRIAN) BANDED IRON ORE DEPOSITS OF THE ANSHAN-TYPE OF LIAONING AND SHANTUNG PROVINCES | 4 |
About Yurong Cheng
Yurong Cheng is a scholar working on Computer Science Applications, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 414 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Data Management and Algorithms (9 papers) and Transportation and Mobility Innovations (7 papers). The work is most often cited by research in Computer Science Applications (99 citations), Signal Processing (100 citations) and Transportation (53 citations). Yurong Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lei Chen, Guoren Wang, Ye Yuan, Philip S. Yu, Yongxin Tong, Boyang Li, Christophe Giraud-Carrier, Yongjiao Sun, Minghe Yu and Dapeng Zhang. Their work appears in journals such as Expert Systems with Applications, Medicine and IEEE Transactions on Knowledge and Data Engineering.
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.