Jinjin Wan

464 citations
22 papers · 367 · h-index 8

Impact in

Papers in

Jinjin Wan

19 papers receiving 365 citations

Peers

Jinjin Wan
Comparison fields: 5 of 71
  • Pollution 195
  • Environmental Chemistry 85
  • Health, Toxicology and Mutagenesis 63
  • Industrial and Manufacturing Engineering 33
  • Renewable Energy, Sustainability and the Environment 50
Replace L. Uma with:
L. Uma India
Chunnuan Deng China
Ajuan Liu China
Tiago Torres Portugal
Shirong Xu China
Xiaolin Kuang China
Marta Esperanza Spain
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Jinjin Wan relative to L. Uma India L. Uma's profile →
Citations per field
00.5×10.7×
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Citations per year

Countries citing papers authored by Jinjin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jinjin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014185
2 201374
3 201618
4 201314
5 201712
6 202111
7 201410
8 20149
9 20147
10 20105
11 20214
12 20254
13 20233
14 20173
15 20242
16 20222
17
Laboratory tests and numerical modelling in the development of WaveCat
20182
18 20241
19 20241
20 20190

About Jinjin Wan

Jinjin Wan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 22 papers that have together received 367 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Fire Detection and Safety Systems (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Pollution (195 citations), Environmental Chemistry (85 citations), Health, Toxicology and Mutagenesis (63 citations), Industrial and Manufacturing Engineering (33 citations) and Renewable Energy, Sustainability and the Environment (50 citations). Jinjin Wan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Peiyong Guo, Xiaofang Peng, Shengxiang Zhang, Mingxi Wan, Yongfeng Zhao, Xiaodong Zhou, Hongmei Zhang, Shixiong Li, Diya Wang and Yang Xuan. Their work appears in journals such as Ultrasound in Medicine & Biology, Molecular Pain, Brazilian Archives of Biology and Technology, Journal of Hazardous Materials and BioMed Research International.

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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