Lan Yan

4.2k citations
182 papers · 3.3k indexed · h-index 33

Lan Yan

175 papers receiving 3.2k citations

Peers

Lan Yan
Comparison fields: 5 of 178
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Biotechnology 144
  • Surfaces, Coatings and Films 114
  • Computer Vision and Pattern Recognition 319
  • Electrical and Electronic Engineering 764
Replace Lian Li with:
Lian Li China
Vishal Sharma India
Xiaoyan Yu China
Fan Li China
Joachim Wegener Germany
Yaqin Zhang China
Lei Xie United States
Chia‐Wei Wang Taiwan
Baoxin Li China
Ling Lin China
Lan Yan relative to Lian Li China Lian Li's profile →
Citations per field
00.5×8.2×
Lian Li · 1×
Citations per year

Countries citing papers authored by Lan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 202415
5 20240
6 20241
7 20238
8 202312
9 20235
10 20233
11 20223
12 202120
13 202132
14 20214
15 202125
16 202145
17 20204
18 202022
19 20172
20
HuBC1-IL12: A very potent immunocytokine which targets the oncofetal fibronectin in the extracellular matrix of tumor vasculature
20041

About Lan Yan

Lan Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials, having authored 182 papers that have together received 3.3k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (31 papers), Lanthanide and Transition Metal Complexes (22 papers), Magnetism in coordination complexes (20 papers), Metal complexes synthesis and properties (15 papers), Plasma Diagnostics and Applications (13 papers), Multimodal Machine Learning Applications (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Electrohydrodynamics and Fluid Dynamics (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Biotechnology (144 citations) and Surfaces, Coatings and Films (114 citations). Lan Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Cheng Cheng, Fei‐Yue Wang, Wenbo Zheng, Jie Shen, Chao Gou, Rudong Yang, Paul K. Chu, Zimu Xu, Hao Zhang and Weidong Xia. Their work appears in journals such as Polyhedron, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Plasma Processes and Polymers, Journal of Physics D Applied Physics and Frontiers in Plant Science.

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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