Xuan Li

2.0k total citations · 3 hit papers
55 papers, 1.3k citations indexed

About

Xuan Li is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Xuan Li has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Automotive Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Xuan Li's work include Autonomous Vehicle Technology and Safety (10 papers), Advanced Neural Network Applications (10 papers) and Video Surveillance and Tracking Methods (6 papers). Xuan Li is often cited by papers focused on Autonomous Vehicle Technology and Safety (10 papers), Advanced Neural Network Applications (10 papers) and Video Surveillance and Tracking Methods (6 papers). Xuan Li collaborates with scholars based in China, United States and Macao. Xuan Li's co-authors include Fei‐Yue Wang, Yonglin Tian, Kunfeng Wang, Peijun Ye, Xiao Wang, Qinghai Miao, Fang Deng, Yilun Lin, Xingxia Wang and Haibin Duan and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Hazardous Materials and Energy.

In The Last Decade

Xuan Li

49 papers receiving 1.3k citations

Hit Papers

Future Directions of Inte... 2022 2026 2023 2024 2022 2023 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuan Li China 18 371 280 243 183 179 55 1.3k
Yutong Wang China 21 344 0.9× 198 0.7× 247 1.0× 133 0.7× 152 0.8× 100 1.2k
Yonglin Tian China 21 555 1.5× 314 1.1× 313 1.3× 143 0.8× 230 1.3× 64 1.5k
Haigen Min China 16 294 0.8× 592 2.1× 152 0.6× 158 0.9× 257 1.4× 39 1.4k
Kai Gao China 17 129 0.3× 248 0.9× 147 0.6× 62 0.3× 262 1.5× 98 1.1k
Michael G. Kay United States 19 307 0.8× 165 0.6× 445 1.8× 231 1.3× 288 1.6× 66 1.6k
Zirui Li China 21 237 0.6× 481 1.7× 289 1.2× 40 0.2× 271 1.5× 104 1.1k
Ahmed Shaharyar Khwaja Canada 17 263 0.7× 158 0.6× 249 1.0× 223 1.2× 191 1.1× 67 1.5k
Md. Hafiz Ahamed Bangladesh 18 118 0.3× 238 0.8× 114 0.5× 150 0.8× 353 2.0× 35 1.2k
Abdollah Amirkhani Iran 23 303 0.8× 138 0.5× 578 2.4× 102 0.6× 368 2.1× 76 1.4k

Countries citing papers authored by Xuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Li. A scholar is included among the top collaborators of Xuan Li 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 Xuan Li. Xuan Li 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.
Li, Xuan, et al.. (2025). Infrared and visible image fusion based on text-image core-semantic alignment and interaction. Digital Signal Processing. 163. 105203–105203.
2.
Li, Xuan, et al.. (2025). Bidirectional feedback network for high-level task-directed infrared and visible image fusion. Infrared Physics & Technology. 147. 105751–105751. 1 indexed citations
3.
Zhang, Haojie, et al.. (2024). High-resolution optical fiber underwater acoustic sensor enhanced by PDMS coating. Optical Fiber Technology. 87. 103953–103953.
4.
Shen, Tianyu, Jinlin Sun, Shihan Kong, et al.. (2024). The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence. IEEE/CAA Journal of Automatica Sinica. 11(6). 1313–1316. 5 indexed citations
5.
Wang, Fei‐Yue, Qinghai Miao, Lingxi Li, et al.. (2024). When Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering. IEEE/CAA Journal of Automatica Sinica. 11(4). 809–815. 35 indexed citations
6.
Li, Xuan, et al.. (2024). ChatGPT-Based Scenario Engineer: A New Framework on Scenario Generation for Trajectory Prediction. IEEE Transactions on Intelligent Vehicles. 9(3). 4422–4431. 13 indexed citations
7.
Teng, Siyu, Xuan Li, Yuchen Li, et al.. (2024). Scenario Engineering for Autonomous Transportation: A New Stage in Open-Pit Mines. IEEE Transactions on Intelligent Vehicles. 9(3). 4394–4404. 9 indexed citations
8.
Li, Xuan, Qinghai Miao, Lingxi Li, et al.. (2024). Retraction Notice: Sora for Scenarios Engineering of Intelligent Vehicles: Vx0026;V, Cx0026;C, and Beyonds. IEEE Transactions on Intelligent Vehicles. 1–1. 1 indexed citations
10.
Yi, Chenfu, et al.. (2024). A recurrent neural network based on Taylor difference for solving discrete time-varying linear matrix problems and application in robot arms. Journal of the Franklin Institute. 362(2). 107469–107469. 1 indexed citations
11.
Zhao, Liang, et al.. (2023). SEDG-Yolov5: A Lightweight Traffic Sign Detection Model Based on Knowledge Distillation. Electronics. 12(2). 305–305. 12 indexed citations
12.
Song, Rui, et al.. (2023). Identifying Critical Test Scenarios for Lane Keeping Assistance System Using Analytic Hierarchy Process and Hierarchical Clustering. IEEE Transactions on Intelligent Vehicles. 8(10). 4370–4380. 17 indexed citations
13.
Zhang, Jiaqi, Jie Yang, Xuan Li, et al.. (2022). SAR Ship Target Detection Based on Lightweight YOLOv5 in Complex Environment. 1–3. 4 indexed citations
14.
Li, Xuan, Liqiong Chang, & Xue Liu. (2021). CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication. 11–18. 4 indexed citations
15.
Li, Xuan, et al.. (2020). Experiments on burst pressure and fragment dispersion effects of small-sized pressure vessel BLEVE. Fuel. 277. 118145–118145. 11 indexed citations
16.
Li, Xuan, Yutong Wang, Lan Yan, et al.. (2019). ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles. IEEE Transactions on Vehicular Technology. 68(10). 9619–9631. 47 indexed citations
17.
Li, Pengliang, Zhenyi Liu, Mingzhi Li, et al.. (2019). Experimental study on the flammability limits of natural gas/air mixtures at elevated pressures and temperatures. Fuel. 256. 115950–115950. 42 indexed citations
18.
Li, Xuan, Yue Jiang, Bing Xu, et al.. (2016). Glucose Oxidase Immobilization by Volume Shrinkage of Graphene as “Door-Function” Microelectrode. Journal of The Electrochemical Society. 163(5). B169–B175. 2 indexed citations
19.
Shi, Yujie, Xuan Li, Minghui Ye, et al.. (2015). An Imperata Cylindrical Flowers-Shaped Porous Graphene Microelectrode for Direct Electrochemistry of Glucose Oxidase. Journal of The Electrochemical Society. 162(7). B138–B144. 13 indexed citations
20.
Shi, Yujie, Fang Liu, Xuan Li, Liangti Qu, & Huibo Shao. (2015). The observation of ion-pairing effect based on substituent effect of ferrocene derivatives. Journal of Electroanalytical Chemistry. 757. 258–262. 5 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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