Ran Shi

1.2k total citations
75 papers, 906 citations indexed

About

Ran Shi is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ran Shi has authored 75 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 24 papers in Electrical and Electronic Engineering and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ran Shi's work include Visual Attention and Saliency Detection (24 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Image and Video Quality Assessment (11 papers). Ran Shi is often cited by papers focused on Visual Attention and Saliency Detection (24 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Image and Video Quality Assessment (11 papers). Ran Shi collaborates with scholars based in China, Hong Kong and France. Ran Shi's co-authors include Zhi Liu, King Ngi Ngan, Xiaofei Zhou, Jiyong Zhang, Songnan Li, Liquan Shen, Lei Gao, Zhaoyang Zhang, Dongliang Gao and Tong Qiao and has published in prestigious journals such as Journal of Applied Physics, Food Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

Ran Shi

68 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ran Shi China	17	466	173	136	119	95	75	906
Lianfa Bai China	20	509 1.1×	192 1.1×	78 0.6×	294 2.5×	202 2.1×	150	1.4k
Chanho Jung South Korea	13	485 1.0×	118 0.7×	98 0.7×	81 0.7×	43 0.5×	48	717
Zheng Gong China	14	197 0.4×	168 1.0×	33 0.2×	61 0.5×	104 1.1×	65	624
Thomas J. Meitzler United States	15	113 0.2×	193 1.1×	251 1.8×	121 1.0×	118 1.2×	73	752
Yongkang Luo China	20	205 0.4×	436 2.5×	449 3.3×	27 0.2×	198 2.1×	71	1.0k
Robert L. Ewing United States	10	262 0.6×	152 0.9×	20 0.1×	129 1.1×	136 1.4×	111	648
Chia‐Kai Liang Taiwan	16	1.0k 2.2×	154 0.9×	100 0.7×	498 4.2×	88 0.9×	42	1.2k
Hui Xu China	17	208 0.4×	361 2.1×	14 0.1×	45 0.4×	89 0.9×	101	949
Imari Sato Japan	20	1.1k 2.4×	32 0.2×	173 1.3×	439 3.7×	98 1.0×	76	1.3k
Weihua Xiong China	13	775 1.7×	27 0.2×	301 2.2×	164 1.4×	16 0.2×	45	906

Countries citing papers authored by Ran Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ran Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Shi. A scholar is included among the top collaborators of Ran Shi 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 Ran Shi. Ran Shi 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

Zhou, Xiaofei, et al.. (2025). Hierarchical spatiotemporal Feature Interaction Network for video saliency prediction. Image and Vision Computing. 154. 105413–105413. 2 indexed citations

Cui, Fang, et al.. (2025). Multi-modal feature integration network for Visible-Depth-Thermal salient object detection. Engineering Applications of Artificial Intelligence. 152. 110734–110734.

Sun, Shuguo, et al.. (2025). Biodegradable and antibacterial edible films based on egg yolk granules/gelatin/CMC with e-poly-l-lysine: Application in fresh chicken meat preservation. Food Chemistry. 478. 143627–143627. 5 indexed citations

Oh, Deog‐Hwan, et al.. (2024). Magnetic polydopamine nanoparticles as stabilisers for enzyme-Pickering emulsions: Application in the interfacial catalytic reaction of olive oil. Food Chemistry. 463(Pt 3). 141315–141315. 5 indexed citations

Qiao, Tong, Ran Shi, Meng Han, et al.. (2024). Scalable Universal Adversarial Watermark Defending Against Facial Forgery. IEEE Transactions on Information Forensics and Security. 19. 8998–9011. 8 indexed citations

Shi, Ran, et al.. (2023). Investigation into the gel substrate fabrication of a novel ammonium amine explosive and its generic properties exploration. Colloids and Surfaces A Physicochemical and Engineering Aspects. 682. 132918–132918. 1 indexed citations

Wang, Chenglin, Ran Shi, Lei Gao, Alexander S. Shalin, & Jie Luo. (2023). Quenching of second-harmonic generation by epsilon-near-zero media. Photonics Research. 11(8). 1437–1437. 8 indexed citations

Xiong, Xiaogang, et al.. (2022). Discrete-Time Twisting Algorithm Implementation With Implicit-Euler ZOH Discretization Method. IEEE Transactions on Circuits & Systems II Express Briefs. 69(8). 3435–3439. 11 indexed citations

Shi, Ran, Jing Ma, King Ngi Ngan, Jian Xiong, & Tong Qiao. (2022). Objective Object Segmentation Visual Quality Evaluation: Quality Measure and Pooling Method. ACM Transactions on Multimedia Computing Communications and Applications. 18(3). 1–19. 3 indexed citations

10.

Zhou, Xiaofei, et al.. (2021). Edge-Aware Multi-Level Interactive Network for Salient Object Detection of Strip Steel Surface Defects. IEEE Access. 9. 149465–149476. 39 indexed citations

11.

Shi, Ran, et al.. (2021). Fixations based personal target objects segmentation. 1. 1–7. 1 indexed citations

12.

Du, Huan, Zhi Liu, & Ran Shi. (2018). Salient object segmentation based on depth-aware image layering. Multimedia Tools and Applications. 78(9). 12125–12138. 7 indexed citations

13.

Xiong, Jian, Xianzhong Long, Ran Shi, et al.. (2018). Background Error Propagation Model Based RDO in HEVC for Surveillance and Conference Video Coding. IEEE Access. 6. 67206–67216. 18 indexed citations

14.

Tian, Huidong, Haoran Wang, Shiyi Zhou, et al.. (2018). Numerical Calculation of Static Temperature Distribution of Transformer Bushings and Analysis of Influential Factors. 1–4. 5 indexed citations

15.

Gao, Dongliang, Ran Shi, Yang Huang, & Lei Gao. (2017). Fano-enhanced pulling and pushing optical force on active plasmonic nanoparticles. Physical review. A. 96(4). 34 indexed citations

16.

Shi, Ran, King Ngi Ngan, & Songnan Li. (2014). Jaccard index compensation for object segmentation evaluation. 4457–4461. 45 indexed citations

17.

Shi, Ran, et al.. (2013). Temperature Self-Compensation of Micromechanical Silicon Resonant Accelerometer. Applied Mechanics and Materials. 373-375. 373–381. 12 indexed citations

18.

Shi, Ran, et al.. (2010). Human object segmentation using Gaussian mixture model and graph cuts. 787–790. 1 indexed citations

19.

Shi, Ran, et al.. (1995). Computation of transient electromagnetic fields radiated by a transmission line: An exact model. IEEE Transactions on Magnetics. 31(4). 2423–2431. 11 indexed citations

20.

Gál, M., et al.. (1989). On the nature of photoreflectance line shape in GaAs. Journal of Applied Physics. 66(12). 6196–6198. 6 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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