Liting Lin

3.0k citations
27 papers · 2.0k · 1 hit paper · h-index 15

Impact in

Papers in

Liting Lin

27 papers receiving 1.9k citations

Liting Lin's Hit Papers

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking 2019 · 1.2k citations
1.2k0+2+4Years since publication2505007501000

Peers

Liting Lin
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 1.3k
  • Safety, Risk, Reliability and Quality 291
  • Aerospace Engineering 332
  • Pharmaceutical Science 69
  • Ceramics and Composites 65
Replace Ziyu Wei with:
Ziyu Wei China
Pei Si Xu China
Haowei Liu China
Ryô Hasegawa Japan
Ying Jin China
Yanyan Wei China
Zhen Jia China
Yingli Liu China
Shengyan Zhou China
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Liting Lin relative to Ziyu Wei China Ziyu Wei's profile →
Citations per field
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Ziyu Wei · 1×
Citations per year

Countries citing papers authored by Liting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liting Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liting Lin Line = papers co-authored together Liting Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Hit paper breakdown →
20191166
2 2020210
3 2022123
4 202464
5 202046
6 202446
7 202343
8 201642
9 202425
10 202122
11 201921
12 202019
13 201718
14 201917
15 201915
16 201915
17 202413
18 202413
19 202012
20 202111

About Liting Lin

Liting Lin is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition, Ceramics and Composites, Pharmaceutical Science and Inorganic Chemistry, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (8 papers), Video Surveillance and Tracking Methods (6 papers), Fluorine in Organic Chemistry (3 papers), Perovskite Materials and Applications (3 papers), Glass properties and applications (3 papers), Nanoplatforms for cancer theranostics (3 papers), Fire Detection and Safety Systems (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Safety, Risk, Reliability and Quality (291 citations), Aerospace Engineering (332 citations), Pharmaceutical Science (69 citations) and Ceramics and Composites (65 citations). Liting Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Xu, Haibin Ling, Ge Deng, Sijia Yu, Chunyuan Liao, Peng Chu, Fan Yang, Hexin Bai, Heng Fan and Shifeng Zhou. Their work appears in journals such as Journal of the American Ceramic Society, The Journal of Organic Chemistry, Journal of Nanobiotechnology, RSC Advances and Acta Biomaterialia.

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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