Lili Fan

913 total citations
49 papers, 472 citations indexed

About

Lili Fan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Lili Fan has authored 49 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Lili Fan's work include Advanced Image and Video Retrieval Techniques (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Autonomous Vehicle Technology and Safety (5 papers). Lili Fan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Autonomous Vehicle Technology and Safety (5 papers). Lili Fan collaborates with scholars based in China, Macao and United States. Lili Fan's co-authors include Hongwei Zhao, Fei‐Yue Wang, Dongpu Cao, Haoyu Zhao, Yunjie Li, Yutong Wang, Bai Li, Junhao Wang, Ying Li and Shen Li and has published in prestigious journals such as Journal of Materials Chemistry, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Lili Fan

44 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lili Fan China	14	182	90	70	68	61	49	472
Junfan Wang China	9	258 1.4×	119 1.3×	58 0.8×	46 0.7×	27 0.4×	17	400
Mario Ortí Mata Spain	8	335 1.8×	150 1.7×	44 0.6×	88 1.3×	38 0.6×	20	480
Yanting Liu China	9	280 1.5×	113 1.3×	51 0.7×	27 0.4×	84 1.4×	34	491
Miguel Ángel García-Garrido Spain	9	354 1.9×	119 1.3×	38 0.5×	114 1.7×	52 0.9×	15	489
Zhengyu Xie China	10	124 0.7×	53 0.6×	45 0.6×	24 0.4×	27 0.4×	30	353
Xiaokang Jin China	7	371 2.0×	176 2.0×	61 0.9×	30 0.4×	53 0.9×	9	499
Louahdi Khoudour France	13	292 1.6×	35 0.4×	87 1.2×	37 0.5×	97 1.6×	42	508
T. J. Mateo Sanguino Spain	11	67 0.4×	68 0.8×	37 0.5×	57 0.8×	51 0.8×	58	477
Cheng Xu China	13	98 0.5×	42 0.5×	65 0.9×	17 0.3×	22 0.4×	34	444

Countries citing papers authored by Lili Fan

Since Specialization

Citations

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

Fields of papers citing papers by Lili Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Fan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yuan, Jiabin, et al.. (2025). La-LoRA: Parameter-efficient fine-tuning with layer-wise adaptive low-rank adaptation. Neural Networks. 194. 108095–108095.

Vlacic, Ljubo, Hailong Huang, Mariagrazia Dotoli, et al.. (2024). Automation 5.0: The Key to Systems Intelligence and Industry 5.0. IEEE/CAA Journal of Automatica Sinica. 11(8). 1723–1727. 9 indexed citations

Zhang, Chunjie, et al.. (2024). Cross-Light Contrastive Learning of Pavement Crack Segmentation in Low-Light Conditions for Autonomous Road Inspection Vehicles. IEEE Transactions on Intelligent Vehicles. 1–11.

Fan, Lili, et al.. (2024). Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios. IEEE Transactions on Intelligent Vehicles. 9(4). 4568–4572. 5 indexed citations

Fan, Lili, Yutong Wang, Hui Zhang, et al.. (2024). Multimodal Perception and Decision-Making Systems for Complex Roads Based on Foundation Models. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6561–6569. 2 indexed citations

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

Han, Xu, Zonglin Meng, Xin Xia, et al.. (2024). Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. IEEE Transactions on Intelligent Vehicles. 9(1). 39–47. 32 indexed citations

Fan, Lili, et al.. (2024). Sociolinguistic Radar of Phonological Variation and Social Meaning: Variables, Quantitative Methods, and Prospects. IEEE Transactions on Computational Social Systems. 11(6). 7734–7741.

Zhou, Yongxing, Xueru Li, Jun-Bo Wang, et al.. (2024). Unimodular Complete Complementary Sequence With Optimal Trade-Off Between Auto- and Cross-Ambiguity Functions for MIMO Radars. IEEE Transactions on Intelligent Vehicles. 10(4). 2795–2805. 1 indexed citations

10.

Fan, Lili, Chao Guo, Yonglin Tian, et al.. (2024). Sora for foundation robots with parallel intelligence: three world models, three robotic systems. Frontiers of Information Technology & Electronic Engineering. 25(7). 917–923. 7 indexed citations

11.

Yang, Dongsheng, et al.. (2024). A PREA and OODA Computing Framework of Unmanned Systems to Perform Complex Tasks. IEEE Transactions on Intelligent Vehicles. 1–18. 1 indexed citations

12.

Fan, Lili, et al.. (2024). 4D mmWave Radar for Autonomous Driving Perception: A Comprehensive Survey. IEEE Transactions on Intelligent Vehicles. 9(4). 4606–4620. 36 indexed citations

13.

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

14.

Fan, Lili, et al.. (2023). GRC-Net: Fusing GAT-Based 4D Radar and Camera for 3D Object Detection. SAE International Journal of Advances and Current Practices in Mobility. 6(5). 2690–2696. 6 indexed citations

15.

Fan, Lili, et al.. (2023). Pavement Defect Detection With Deep Learning: A Comprehensive Survey. IEEE Transactions on Intelligent Vehicles. 9(3). 4292–4311. 31 indexed citations

16.

Fan, Lili, et al.. (2023). Voxel Density-based Point Cloud Masked Auto-Encoder Loss Function. 1–5. 2 indexed citations

17.

Meng, Xianglin, et al.. (2023). YOLOv5s-Fog: An Improved Model Based on YOLOv5s for Object Detection in Foggy Weather Scenarios. Sensors. 23(11). 5321–5321. 25 indexed citations

18.

Wang, Xingxia, et al.. (2023). Advancing Vehicular Healthcare: The DAO-Based Parallel Maintenance for Intelligent Vehicles. IEEE Transactions on Intelligent Vehicles. 8(12). 4671–4673. 6 indexed citations

19.

Fan, Lili, et al.. (2023). BFNet: Brain-like Feedback Network for Object Detection under Severe Weather. 1–6. 3 indexed citations

20.

Fan, Lili. (2013). Detection for bovine-derived ingredients in foods with real-time polymerase chain reaction method. Science and Technology of Food Industry. 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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