Liting Lin

2.7k citations
23 papers · 1.6k · 1 hit paper · h-index 13

Impact in

Papers in

Liting Lin

23 papers receiving 1.5k citations

Liting Lin's Hit Papers

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking 2019 · 970 citations
9700+2+4Years since publication250500750

Peers

Liting Lin
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 1.0k
  • Safety, Risk, Reliability and Quality 243
  • Aerospace Engineering 278
  • Ceramics and Composites 64
  • Pharmaceutical Science 64
Replace Hongbo Li with:
Hongbo Li China
Ziyu Wei China
Haowei Liu China
Qing An China
Pei Xu China
Yingli Liu China
Zhen Jia China
Yuchuan Zhang China
Qingjie Zhang China
Liting Lin relative to Hongbo Li China Hongbo Li's profile →
Citations per field
00.5×10×15×21.7×
Hongbo Li · 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 23 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 →
2019970
2 2020151
3 2022114
4 202443
5 202039
6 201638
7 202436
8 201921
9 202120
10 201717
11 201916
12 201914
13 201914
14 202011
15 202110
16 20249
17 20249
18 20216
19 20254
20 20224

About Liting Lin

Liting Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Inorganic Chemistry, Pharmaceutical Science and Ceramics and Composites, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (8 papers), Nanoplatforms for cancer theranostics (3 papers), Glass properties and applications (3 papers), Fluorine in Organic Chemistry (3 papers), Perovskite Materials and Applications (3 papers), Ga2O3 and related materials (2 papers), Solid State Laser Technologies (2 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Safety, Risk, Reliability and Quality (243 citations), Aerospace Engineering (278 citations), Ceramics and Composites (64 citations) and Pharmaceutical Science (64 citations). Liting Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peng Chu, Sijia Yu, Chunyuan Liao, Yong Xu, Haibin Ling, Heng Fan, Ge Deng, Fan Yang, Hexin Bai and Shifeng Zhou. Their work appears in journals such as RSC Advances, Journal of the American Ceramic Society, Journal of Nanobiotechnology, Acta Biomaterialia and The Journal of Organic Chemistry.

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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