Ling Cai

2.6k total citations · 3 hit papers
48 papers, 1.6k citations indexed

About

Ling Cai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ling Cai has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Ling Cai's work include Geographic Information Systems Studies (10 papers), Data Management and Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Ling Cai is often cited by papers focused on Geographic Information Systems Studies (10 papers), Data Management and Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Ling Cai collaborates with scholars based in United States, China and Austria. Ling Cai's co-authors include Zhi Tang, Yongtao Wang, Tao Sheng, Haibin Ling, Ying Chen, Qijie Zhao, Gengchen Mai, Rui Zhu, Krzysztof Janowicz and Bo Yan and has published in prestigious journals such as FEBS Letters, Journal of Cerebral Blood Flow & Metabolism and Pattern Recognition.

In The Last Decade

Ling Cai

47 papers receiving 1.5k citations

Hit Papers

M2Det: A Single-Shot Object Detector Based on Multi-Level... 2019 2026 2021 2023 2019 2020 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Cai United States 15 682 276 227 213 162 48 1.6k
Quanshi Zhang China 20 549 0.8× 915 3.3× 246 1.1× 132 0.6× 125 0.8× 58 1.8k
Tong Zhang China 20 421 0.6× 192 0.7× 405 1.8× 335 1.6× 162 1.0× 94 1.4k
Yao‐Yi Chiang United States 22 441 0.6× 251 0.9× 116 0.5× 129 0.6× 245 1.5× 85 1.7k
Adam C. Winstanley Ireland 16 223 0.3× 142 0.5× 229 1.0× 98 0.5× 326 2.0× 68 1.1k
Lei Bai China 23 439 0.6× 370 1.3× 225 1.0× 442 2.1× 143 0.9× 120 1.6k
Jiyeong Lee South Korea 19 220 0.3× 97 0.4× 91 0.4× 652 3.1× 208 1.3× 131 1.7k
Yongjun Xu China 26 357 0.5× 669 2.4× 246 1.1× 394 1.8× 380 2.3× 141 2.5k
Jiawei Zhu China 14 207 0.3× 344 1.2× 267 1.2× 375 1.8× 101 0.6× 42 1.4k
Cyril Ray France 15 137 0.2× 188 0.7× 206 0.9× 188 0.9× 186 1.1× 56 985
Wei Hong China 22 881 1.3× 251 0.9× 34 0.1× 45 0.2× 175 1.1× 122 2.0k

Countries citing papers authored by Ling Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Cai. A scholar is included among the top collaborators of Ling 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 Ling Cai. Ling 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.
Janowicz, Krzysztof, Gengchen Mai, Weiming Huang, et al.. (2025). GeoFM: how will geo-foundation models reshape spatial data science and GeoAI?. International Journal of Geographical Information Systems. 39(9). 1849–1865. 2 indexed citations
2.
Li, Yan, Rui Pang, Ling Cai, et al.. (2025). Semaglultide targets Spp1+ microglia/macrophage to attenuate neuroinflammation following perioperative stroke. Journal of Neuroinflammation. 22(1). 143–143. 1 indexed citations
3.
Cai, Ling, et al.. (2024). Aging affects the mouse brain in a region-specific manner. Journal of Cerebral Blood Flow & Metabolism. 45(2). 373–375. 1 indexed citations
4.
Cai, Ling, Rui Pang, Chen Chen, et al.. (2024). Microglia programmed cell death in neurodegenerative diseases and CNS injury. APOPTOSIS. 30(1-2). 446–465. 7 indexed citations
5.
Cai, Ling, Krzysztof Janowicz, Rui Zhu, et al.. (2022). HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. GeoInformatica. 27(2). 159–197. 8 indexed citations
6.
Mai, Gengchen, Chiyu Jiang, Weiwei Sun, et al.. (2022). Towards general-purpose representation learning of polygonal geometries. GeoInformatica. 27(2). 289–340. 27 indexed citations
7.
Zhu, Rui, Krzysztof Janowicz, Gengchen Mai, Ling Cai, & Meilin Shi. (2022). COVID-Forecast-Graph: An Open Knowledge Graph for Consolidating COVID-19 Forecasts and Economic Indicators via Place and Time. 3. 1–12. 4 indexed citations
8.
Janowicz, Krzysztof, Cogan Shimizu, Pascal Hitzler, et al.. (2021). Diverse data! Diverse schemata?. Semantic Web. 1–3. 2 indexed citations
9.
Jackson, Todd, Ling Cai, & Hong Chen. (2020). Asian versus Western appearance media influences and changes in body image concerns of young Chinese women: A 12-month prospective study. Body Image. 33. 214–221. 27 indexed citations
10.
Cai, Ling, et al.. (2020). Initial development and validation of the Online Appearance-Relevant Peer Conversations Scale. Body Image. 33. 115–128. 4 indexed citations
11.
Cai, Ling, Jun Xu, Ju Liu, et al.. (2019). Sensing multiple semantics of urban space from crowdsourcing positioning data. Cities. 93. 31–42. 38 indexed citations
12.
Zhao, Qijie, Tao Sheng, Yongtao Wang, et al.. (2019). M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9259–9266. 637 indexed citations breakdown →
13.
Wang, Yongtao, et al.. (2018). An End-to-End Quadrilateral Regression Network for Comic Panel Extraction. 887–895. 11 indexed citations
14.
Shadel, William G., et al.. (2014). Development of the PROMIS(R) Positive Emotional and Sensory Expectancies of Smoking Item Banks. Nicotine & Tobacco Research. 16(Suppl 3). S212–S222. 8 indexed citations
15.
Stucky, Brian D., Maria Orlando Edelen, William G. Shadel, et al.. (2014). Development of the PROMIS(R) Negative Psychosocial Expectancies of Smoking Item Banks. Nicotine & Tobacco Research. 16(Suppl 3). S232–S240. 7 indexed citations
16.
Smith, Richard, Amy Duguay, Jennifer Weiszmann, et al.. (2013). A Novel Approach to Improve the Function of FGF21. BioDrugs. 27(2). 159–166. 19 indexed citations
17.
Cai, Ling, et al.. (2012). Expression, Purification and Characterization of Recombinant Human Angiogenin inPichia pastoris. Bioscience Biotechnology and Biochemistry. 76(7). 1384–1388. 5 indexed citations
18.
Porat, Amir, Dwight Winters, Ling Cai, et al.. (2012). A NOVEL ANION-EXCHANGE RESIN SUITABLE FOR BOTH DISCOVERY RESEARCH AND CLINICAL MANUFACTURING PURPOSES. Preparative Biochemistry & Biotechnology. 42(4). 304–321. 4 indexed citations
19.
Cai, Ling, et al.. (2010). Multi-object detection and tracking by stereo vision. Pattern Recognition. 43(12). 4028–4041. 29 indexed citations
20.
Yie, Junming, Randy Hecht, Jennitte Stevens, et al.. (2008). FGF21 N‐ and C‐termini play different roles in receptor interaction and activation. FEBS Letters. 583(1). 19–24. 119 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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