Jiarui Cai

773 total citations · 1 hit paper
23 papers, 480 citations indexed

About

Jiarui Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Jiarui Cai has authored 23 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Global and Planetary Change. Recurrent topics in Jiarui Cai's work include Advanced Neural Network Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Automated Road and Building Extraction (3 papers). Jiarui Cai is often cited by papers focused on Advanced Neural Network Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Automated Road and Building Extraction (3 papers). Jiarui Cai collaborates with scholars based in United States, China and Taiwan. Jiarui Cai's co-authors include Jenq–Neng Hwang, Yizhou Wang, Hao Yang, Wei Xia, Stefano Soatto, Wei Li, Zhuowen Tu, Mingze Xu, Yuanjun Xiong and Yinhai Wang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Jiarui Cai

21 papers receiving 466 citations

Hit Papers

MeMOT: Multi-Object Tracking with Memory 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiarui Cai United States 9 268 146 60 48 45 23 480
Zhiguo Yu China 8 128 0.5× 125 0.9× 41 0.7× 29 0.6× 63 1.4× 9 412
Chunjiang Ge China 5 258 1.0× 156 1.1× 42 0.7× 19 0.4× 28 0.6× 7 463
Suet-Peng Yong Malaysia 12 168 0.6× 127 0.9× 27 0.5× 32 0.7× 49 1.1× 33 390
Misbah Ahmad South Korea 14 215 0.8× 110 0.8× 28 0.5× 20 0.4× 48 1.1× 31 426
Shuting He China 14 313 1.2× 104 0.7× 19 0.3× 37 0.8× 31 0.7× 39 509
Jie Zeng China 11 94 0.4× 83 0.6× 46 0.8× 30 0.6× 59 1.3× 32 467
Jianan Liu China 13 470 1.8× 52 0.4× 166 2.8× 38 0.8× 39 0.9× 34 664
Guangle Yao China 11 351 1.3× 164 1.1× 20 0.3× 14 0.3× 47 1.0× 30 591
Pei Guo China 8 145 0.5× 70 0.5× 15 0.3× 45 0.9× 99 2.2× 30 380

Countries citing papers authored by Jiarui Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jiarui Cai. A scholar is included among the top collaborators of Jiarui Cai 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 Jiarui Cai. Jiarui Cai 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.
Cai, Jiarui, et al.. (2025). Is it better to collaborate with a teacher or a peer? Evidence from a group-based selective retrieval practice paradigm. European Journal of Psychology of Education. 40(3).
3.
Cai, Jiarui, Xingyue Li, Lin Li, et al.. (2024). The association between artificial light at night and gestational diabetes mellitus: A prospective cohort study from China. The Science of The Total Environment. 919. 170849–170849. 8 indexed citations
4.
Kong, Fanjie, Yanbei Chen, Jiarui Cai, & Davide Modolo. (2024). Hyperbolic Learning with Synthetic Captions for Open-World Detection. 16762–16771. 2 indexed citations
5.
Cai, Jiarui, et al.. (2024). Application of the improved dung beetle optimizer, muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area, China. Atmospheric and Oceanic Science Letters. 18(1). 100497–100497. 4 indexed citations
6.
Yang, Hao, Jiarui Cai, Chenxi Liu, Ruimin Ke, & Yinhai Wang. (2023). Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning. Transportation Research Part C Emerging Technologies. 148. 103982–103982. 40 indexed citations
7.
Yang, Tingting, Chenghan Xiao, Fuping Li, et al.. (2023). Outdoor artificial light at night and male sperm quality: A retrospective cohort study in China. Environmental Pollution. 341. 122927–122927. 3 indexed citations
8.
Zheng, Wenqing, Hao Yang, Jiarui Cai, et al.. (2023). Integrating the traffic science with representation learning for city-wide network congestion prediction. Information Fusion. 99. 101837–101837. 14 indexed citations
9.
Zhang, Lu, Ping Li, Jiarui Cai, et al.. (2023). Maternal Prenatal Depressive Symptoms and Fetal Growth During the Critical Rapid Growth Stage. JAMA Network Open. 6(12). e2346018–e2346018. 3 indexed citations
10.
Cai, Jiarui, Mingze Xu, Wei Li, et al.. (2022). MeMOT: Multi-Object Tracking with Memory. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8080–8090. 123 indexed citations breakdown →
12.
Yang, Hao, Jiarui Cai, Meixin Zhu, Chenxi Liu, & Yinhai Wang. (2022). Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17189–17200. 22 indexed citations
13.
Cai, Jiarui, et al.. (2022). LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 131–139. 7 indexed citations
14.
Cai, Jiarui, et al.. (2022). DIOR: DIstill Observations to Representations for Multi-Object Tracking and Segmentation. 520–529. 3 indexed citations
15.
Cai, Jiarui, Yizhou Wang, & Jenq–Neng Hwang. (2021). ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 112–121. 95 indexed citations
16.
Wang, Gaoang, et al.. (2019). Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models. Computer Vision and Pattern Recognition. 416–424. 51 indexed citations
17.
Cai, Jiarui, et al.. (2019). Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking. Computer Vision and Pattern Recognition. 434–442. 28 indexed citations
18.
Hou, Ping, Jiarui Cai, Shen Qu, & Ming Xu. (2018). Estimating Missing Unit Process Data in Life Cycle Assessment Using a Similarity-Based Approach. Environmental Science & Technology. 52(9). 5259–5267. 39 indexed citations
19.
Cai, Jiarui, et al.. (2017). Quantum Key Distribution with High Order Fibonacci-like Orbital Angular Momentum States. International Journal of Theoretical Physics. 56(8). 2622–2634. 8 indexed citations
20.
Cai, Jiarui. (2016). Computational Approaches for Estimating Life Cycle Inventory Data. Deep Blue (University of Michigan). 1 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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