Yanran Wang

1.2k citations
31 papers · 527 indexed · h-index 13

Impact in

Papers in

    • Hydrogen embrittlement and corrosion behaviors in metals 4
    • Brain Tumor Detection and Classification 3

Yanran Wang

27 papers receiving 513 citations

Peers

Yanran Wang
Comparison fields: 5 of 121
  • Energy Engineering and Power Technology 36
  • Catalysis 66
  • Neurology 62
  • Computer Vision and Pattern Recognition 93
  • Cognitive Neuroscience 84
Replace Teppei Matsui with:
Teppei Matsui Japan
Vidhyasaharan Sethu Australia
Fang Xu China
Zhengrong Wang China
Andrea Schmidt Germany
Minji Lee South Korea
Makoto Hirano Japan
Heejin Lim South Korea
Kristin Munch United States
Yanran Wang relative to Teppei Matsui Japan Teppei Matsui's profile →
Citations per field
00.5×5.2×
Teppei Matsui · 1×
Citations per year

Countries citing papers authored by Yanran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20252
5 20250
6 20244
7 20241
8 20241
9 20242
10 202331
11 20236
12 202217
13 201937
14 201810
15 20172
16 201613
17 201626
18 201642
19 201646
20 201526

About Yanran Wang

Yanran Wang is a scholar working on Metals and Alloys, Neurology, Developmental Biology, Biological Psychiatry and Energy Engineering and Power Technology, having authored 31 papers that have together received 527 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (5 papers), Hydrogen embrittlement and corrosion behaviors in metals (4 papers), Brain Tumor Detection and Classification (3 papers), Visual Attention and Saliency Detection (2 papers), Music Therapy and Health (2 papers), Hydrogen Storage and Materials (2 papers), Concrete Corrosion and Durability (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (36 citations), Catalysis (66 citations), Neurology (62 citations), Computer Vision and Pattern Recognition (93 citations) and Cognitive Neuroscience (84 citations). Yanran Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongyu Zhang, Guanglin Xia, Xuebin Yu, Dalin Sun, Xiaowei Chen, Todd B. Parrish, Aggelos K. Katsaggelos, Yu–Gang Jiang, Rui Feng and Yang Xia. Their work appears in journals such as Bioelectrochemistry, Computational Mechanics, Energy storage materials, IEEE Transactions on Consumer Electronics and Environmental Science and Pollution 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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