Lin Ni

128 papers receiving 1.9k citations

Peers

Lin Ni
Comparison fields: 5 of 157
  • Catalysis 132
  • Renewable Energy, Sustainability and the Environment 240
  • Electronic, Optical and Magnetic Materials 252
  • Materials Chemistry 559
  • Complementary and alternative medicine 90
Replace Yu‐Ting Lin with:
Yu‐Ting Lin Taiwan
Yupu Zhang China
Hui Zhou China
Reda A. Ammar United States
Xinyang Zhang China
Saisai Wang China
Zhenwei Liu China
Kai Chen China
S. Ramalingam India
Lan Yan China
Lin Ni relative to Yu‐Ting Lin Taiwan Yu‐Ting Lin's profile →
Citations per field
00.5×2.6×
Yu‐Ting Lin · 1×
Citations per year

Countries citing papers authored by Lin Ni

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008228
2 2020173
3 2022151
4 2000110
5 202297
6 202186
7 201663
8 201542
9 201839
10 202234
11 202133
12 201532
13 201932
14 200530
15 202228
16 201527
17 202126
18 201926
19 202024
20 202122

About Lin Ni

Lin Ni is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering, having authored 143 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (18 papers), Phytochemistry and Biological Activities (12 papers), Natural Compounds in Disease Treatment (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Image Fusion Techniques (7 papers), Pickering emulsions and particle stabilization (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers) and Botanical Research and Chemistry (6 papers). The work is most often cited by research in Catalysis (132 citations), Renewable Energy, Sustainability and the Environment (240 citations), Electronic, Optical and Magnetic Materials (252 citations), Materials Chemistry (559 citations) and Complementary and alternative medicine (90 citations). Lin Ni has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Chang Yu, Qianbing Wei, Jieshan Qiu, Jieshan Qiu, Yongwen Ren, Jinhe Yu, Minghong Wu, Bianhua Liu, Dongming Liu and Daming Gao. Their work appears in journals such as Natural Product Communications, Frontiers in Cardiovascular Medicine, Fitoterapia, Molecules and Journal of Pharmaceutical and Biomedical Analysis.

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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