Anming Li

1.8k citations
72 papers · 1.3k · 1 hit paper · h-index 18

Impact in

Papers in

Anming Li

68 papers receiving 1.3k citations

Anming Li's Hit Papers

Deep learning in computer vision: A critical review of emerging techniques and application scenarios 2021 · 453 citations
4530+1+3Years since publication100200300400

Peers

Anming Li
Comparison fields: 5 of 150
  • Ceramics and Composites 115
  • Materials Chemistry 679
  • Radiation 95
  • Electrical and Electronic Engineering 502
  • Renewable Energy, Sustainability and the Environment 120
Replace Dihu Chen with:
Dihu Chen China
Tian-Bing Xu United States
Xiuzhi Li China
Brian DeCost United States
Changhua Zhang China
Mário R. G. Marques Germany
Youlin Zhang China
Deming Zhang China
S. Mukherjee India
Anming Li relative to Dihu Chen China Dihu Chen's profile →
Citations per field
00.5×
Dihu Chen · 1×
Citations per year

Countries citing papers authored by Anming Li

Since Specialization
Citations

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

Fields of papers citing papers by Anming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Hit paper breakdown →
2021453
2 201659
3 202154
4 201545
5 201742
6 202442
7 201636
8 201534
9 201932
10 201630
11 202226
12 201526
13 201621
14 201621
15 201418
16 201717
17 201117
18 201617
19 201515
20 200913

About Anming Li

Anming Li is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Ceramics and Composites and Inorganic Chemistry, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (29 papers), Solid State Laser Technologies (19 papers), Glass properties and applications (10 papers), Inorganic Fluorides and Related Compounds (9 papers), Photorefractive and Nonlinear Optics (8 papers), Perovskite Materials and Applications (6 papers), Advanced Fiber Laser Technologies (5 papers) and Advanced Photocatalysis Techniques (5 papers). The work is most often cited by research in Ceramics and Composites (115 citations), Materials Chemistry (679 citations), Radiation (95 citations), Electrical and Electronic Engineering (502 citations) and Renewable Energy, Sustainability and the Environment (120 citations). Anming Li has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Junyi Chai, Eric W.T. Ngai, Hao Zeng, Dekang Xu, Yueli Zhang, Hao Lin, Shenghong Yang, Zhenqiang Chen, Yuanzhi Shao and Siqi Zhu. Their work appears in journals such as Journal of Alloys and Compounds, Scientific Reports, New Journal of Chemistry, Journal of Luminescence and Journal of Russian Laser 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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