Mao Li

7.3k citations
217 papers · 6.0k · 1 hit paper · h-index 40

Impact in

Papers in

Mao Li

205 papers receiving 5.9k citations

Hit Papers

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease 2022 · 231 citations
2310+1+2Years since publication50100150200

Peers

Mao Li
Comparison fields: 5 of 172
  • Polymers and Plastics 1.5k
  • Materials Chemistry 2.0k
  • Surfaces, Coatings and Films 295
  • Biomaterials 507
  • Biomedical Engineering 1.5k
Replace Zhihong Li with:
Zhihong Li China
Yuqing Liu China
Hua Li China
Song Li China
Yanyan Zhang China
Nan Jiang China
Jae Hyun Kim South Korea
Yanlei Wang China
Xiaowei Zhang China
Mao Li relative to Zhihong Li China Zhihong Li's profile →
Citations per field
00.5×1.5×1.8×
Zhihong Li · 1×
Citations per year

Countries citing papers authored by Mao Li

Since Specialization
Citations

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

Fields of papers citing papers by Mao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 217 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011373
2 2015287
3 2010280
4
An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease
Hit paper breakdown →
2022231
5 2008224
6 2013212
7 2008194
8 2003167
9 2011140
10 2009132
11 2011131
12 2009103
13 2018102
14 2014102
15 200996
16 201091
17 201885
18 201880
19 202278
20 201177

About Mao Li

Mao Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Molecular Biology, having authored 217 papers that have together received 6.0k indexed citations. Recurring topics across this work include Conducting polymers and applications (40 papers), Organic Electronics and Photovoltaics (24 papers), Molecular Junctions and Nanostructures (15 papers), Luminescence and Fluorescent Materials (13 papers), Nanoplatforms for cancer theranostics (13 papers), Organic Light-Emitting Diodes Research (13 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Porphyrin and Phthalocyanine Chemistry (7 papers). The work is most often cited by research in Polymers and Plastics (1.5k citations), Materials Chemistry (2.0k citations), Surfaces, Coatings and Films (295 citations), Biomaterials (507 citations) and Biomedical Engineering (1.5k citations). Mao Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Katsuhiko Ariga, Jonathan P. Hill, Michael Bendikov, Asit Patra, Y. Sheynin, Gary J. Richards, Arkady Bitler, Elena Poverenov, Yuguang Ma and Shinsuke Ishihara. Their work appears in journals such as Angewandte Chemie International Edition, Chemical Communications, ACS Applied Materials & Interfaces, The Journal of Physical Chemistry C and ACS Omega.

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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