Jian Ren
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Software top 2%
- Co-authors
- Sergey TulyakovMahmood Reza RahimiChi Harold LiuAthanasios V. VasilakosNalini VenkatasubramanianMark HarmanMengmeng MaCathy Wu
- Topics
- Software Engineering Research (9 papers)Software Reliability and Analysis Research (8 papers)Software Engineering Techniques and Practices (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jian Ren
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Information Systems 389
- Artificial Intelligence 375
- Computer Vision and Pattern Recognition 360
- Computer Networks and Communications 258
- Software 176
Countries citing papers authored by Jian Ren
This map shows the geographic impact of Jian Ren'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 Jian Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Ren more than expected).
Fields of papers citing papers by Jian Ren
This network shows the impact of papers produced by Jian Ren. 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 Jian Ren. The network helps show where Jian Ren may publish in the future.
Co-authorship network of co-authors of Jian Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Ren. A scholar is included among the top collaborators of Jian Ren 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 Jian Ren. Jian Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 27 | |
| 7 | 22 | |
| 8 | 23 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 47 | |
| 12 | 58 | |
| 13 | 36 | |
| 14 | 19 | |
| 15 | Mobile Cloud Computing: A Survey, State of Art and Future Directionsbreakdown → | 270 |
| 16 | 3 | |
| 17 | Linguistic-stochastic multi-criterion decision-making method based on cloud model | 10 |
| 18 | 1 | |
| 19 | 80 | |
| 20 | VEHICLE CLASSIFICATION FOR EXPRESSWAY CAPACITY ANALYSIS IN CHINA | 1 |
About Jian Ren
Jian Ren is a scholar working on Software, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software Reliability and Analysis Research (8 papers) and Software Engineering Techniques and Practices (8 papers). The work is most often cited by research in Software (176 citations), Computer Vision and Pattern Recognition (360 citations) and Information Systems (389 citations). Jian Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sergey Tulyakov, Mahmood Reza Rahimi, Chi Harold Liu, Athanasios V. Vasilakos, Nalini Venkatasubramanian, Mark Harman, Mengmeng Ma, Cathy Wu, L. Zhao and Xi Peng. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Software 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.