Li Lin

3.7k citations
64 papers · 1.5k indexed · 1 hit paper · h-index 19

Li Lin

57 papers receiving 1.5k citations

Hit Papers

Deep Learning for Automated Contouring of Primary Tumor V...237201920262021202350100150200

Peers

Li Lin
Comparison fields: 5 of 104
  • Otorhinolaryngology 473
  • Cancer Research 580
  • Health Informatics 38
  • Radiology, Nuclear Medicine and Imaging 299
  • Radiation 109
Replace Xiance Jin with:
Xiance Jin China
Sara Kochanny United States
Lin‐Quan Tang China
Xiaomao Guo China
Yan‐Qun Xiang China
Wei‐Xiong Xia China
William T. Tran Canada
Xiaoning Luo China
Hesham Elhalawani United States
Maud H. W. Starmans Netherlands
Li Lin relative to Xiance Jin China Xiance Jin's profile →
Citations per field
00.5×4.5×
Xiance Jin · 1×
Citations per year

Countries citing papers authored by Li Lin

Since Specialization
Citations

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

Fields of papers citing papers by Li Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Li 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 Li Lin Line = papers co-authored together Li Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 202414
5 20236
6 202210
7 202222
8 20226
9 202086
10 20204
11 202045
12 2019279
13 2019111
14
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinomabreakdown →
2019237
15 201927
16 201728
17 20152
18 201413
19 201419
20 201430

About Li Lin

Li Lin is a scholar working on Otorhinolaryngology, Radiation, Health Informatics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (33 papers), Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Lung Cancer Treatments and Mutations (7 papers), Brain Metastases and Treatment (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Otorhinolaryngology (473 citations), Cancer Research (580 citations), Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (299 citations) and Radiation (109 citations). Li Lin has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Guan‐Qun Zhou, Jun Ma, Ying Sun, Fo‐Ping Chen, Jia‐Wei Lv, Zi‐Qi Zheng, Jia Kou, Ying‐Qin Li, Na Liu and Zhi‐Xuan Li. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, PLoS ONE, Oncotarget, Nature Communications and Cancer Research.

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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