Renran Tian

645 total citations
43 papers, 365 citations indexed

About

Renran Tian is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition. According to data from OpenAlex, Renran Tian has authored 43 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Automotive Engineering, 17 papers in Safety, Risk, Reliability and Quality and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Renran Tian's work include Autonomous Vehicle Technology and Safety (21 papers), Traffic and Road Safety (17 papers) and Video Surveillance and Tracking Methods (8 papers). Renran Tian is often cited by papers focused on Autonomous Vehicle Technology and Safety (21 papers), Traffic and Road Safety (17 papers) and Video Surveillance and Tracking Methods (8 papers). Renran Tian collaborates with scholars based in United States, Switzerland and Japan. Renran Tian's co-authors include Yaobin Chen, Zhengming Ding, Lingxi Li, Rini Sherony, Vincent G. Duffy, Zhengming Zhang, Tina Chen, Stanley Chien, Mingye Chen and Zhengming Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Renran Tian

38 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Renran Tian United States 12 169 117 110 82 58 43 365
Amardeep Sathyanarayana United States 11 255 1.5× 93 0.8× 89 0.8× 128 1.6× 90 1.6× 20 426
Eike Rehder Germany 10 247 1.5× 138 1.2× 251 2.3× 40 0.5× 80 1.4× 11 443
Haluk Eren Türkiye 10 207 1.2× 97 0.8× 121 1.1× 33 0.4× 73 1.3× 30 424
Mohammad Shahverdy Iran 4 136 0.8× 62 0.5× 75 0.7× 42 0.5× 50 0.9× 9 296
Igor Lashkov Russia 9 136 0.8× 48 0.4× 68 0.6× 63 0.8× 26 0.4× 27 321
Luisa Andreone Italy 13 302 1.8× 109 0.9× 114 1.0× 154 1.9× 68 1.2× 33 529
Akshay Rangesh United States 11 323 1.9× 97 0.8× 230 2.1× 68 0.8× 108 1.9× 18 563
Hongjia Zhang China 11 136 0.8× 105 0.9× 34 0.3× 59 0.7× 24 0.4× 23 314
Shilpa Gulati United States 5 205 1.2× 57 0.5× 111 1.0× 67 0.8× 88 1.5× 7 421

Countries citing papers authored by Renran Tian

Since Specialization
Citations

This map shows the geographic impact of Renran Tian'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 Renran Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renran Tian more than expected).

Fields of papers citing papers by Renran Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renran Tian. 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 Renran Tian. The network helps show where Renran Tian may publish in the future.

Co-authorship network of co-authors of Renran Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Renran Tian. A scholar is included among the top collaborators of Renran Tian 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 Renran Tian. Renran Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Zhengming, et al.. (2025). Driver temporal segmentation of pedestrian crossing intentions during negotiations. Transportation Research Part F Traffic Psychology and Behaviour. 114. 953–969.
2.
Zhang, Zhengming, Zhengming Ding, & Renran Tian. (2024). Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention. IEEE Transactions on Image Processing. 33. 4716–4727. 2 indexed citations
3.
Li, Lingxi, Sabyasachee Mishra, Renran Tian, et al.. (2024). E-scooter Crash Data Analysis towards E-scooter Automatic Emergency Braking System Design and Validation for Automated Vehicles*. 1323–1328. 1 indexed citations
4.
Zhang, Zhengming, Zhengming Ding, Yaobin Chen, et al.. (2024). Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists. 272–277.
5.
Jiang, J. Z., et al.. (2023). Impacts of Roadside Vegetation and Lane Width on Speed Management in Rural Roads. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 2267–2273. 1 indexed citations
6.
Zhang, Zhengming, Renran Tian, & Zhengming Ding. (2023). TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3534–3542. 30 indexed citations
7.
Shen, Dan, Zhengming Zhang, Renran Tian, et al.. (2021). Assessing the Effectiveness of In-Vehicle Highway Back-of-Queue Alerting System. IUScholarWorks (Indiana University). 2 indexed citations
8.
Zhang, Zhengming, Vincent G. Duffy, & Renran Tian. (2021). Trust and Automation: A Systematic Review and Bibliometric Analysis. Lecture notes in computer science. 451–464. 1 indexed citations
9.
Chen, Tina, Renran Tian, & Zhengming Ding. (2021). Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention. 3096–3102. 34 indexed citations
10.
Tian, Renran, et al.. (2021). A Computationally Effective Pedestrian Detection using Constrained Fusion with Body Parts for Autonomous Driving. IUScholarWorks (Indiana University). 106–110. 2 indexed citations
12.
Shen, Dan, Qiang Yi, Lingxi Li, et al.. (2019). Test Scenarios Development and Data Collection Methods for the Evaluation of Vehicle Road Departure Prevention Systems. IEEE Transactions on Intelligent Vehicles. 4(3). 337–352. 14 indexed citations
13.
Li, Lingxi, Qiang Yi, Stanley Chien, et al.. (2019). A Novel Scoring Method for Pedestrian Automatic Emergency Braking Systems. 22. 128–133. 3 indexed citations
14.
Tian, Renran, Stanley Chien, Yaobin Chen, & Rini Sherony. (2019). Pedestrian Moving Patterns during Potential Conflicts with 110 On-Road Driving Vehicles. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63(1). 2036–2040. 1 indexed citations
15.
Sherony, Rini, Renran Tian, Stanley Chien, et al.. (2016). Pedestrian/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development. IUScholarWorks (Indiana University). 1 indexed citations
16.
Sherony, Rini, et al.. (2016). Pedestrain/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development. 8. 1 indexed citations
17.
Sherony, Rini, Renran Tian, Stanley Chien, et al.. (2016). Pedestrian/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development. 4(1). 113–120. 8 indexed citations
18.
19.
Du, Eliza Yingzi, Kai Yang, Feng Jiang, et al.. (2013). Pedestrian Behavior Analysis Using Naturalistic Driving Data in USA. 1 indexed citations
20.
Tian, Renran, Eliza Yingzi Du, Kai Yang, et al.. (2013). Pilot study on pedestrian step frequency in naturalistic driving environment. 1215–1220. 14 indexed citations

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.

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