Jiye Wang

1.2k citations
74 papers · 879 · h-index 17

Impact in

Papers in

Jiye Wang

64 papers receiving 852 citations

Peers

Jiye Wang
Comparison fields: 5 of 125
  • Energy Engineering and Power Technology 37
  • Endocrine and Autonomic Systems 68
  • Media Technology 80
  • Computer Vision and Pattern Recognition 135
  • Genetics 133
Replace Taewan Kim with:
Taewan Kim South Korea
Walter D. Leon-Salas United States
Brandon Dixon United States
Leilei Wang China
Dan Chen China
Sungho Kang South Korea
Jielin Jiang China
Yuhang He China
Kaijun Wang China
Jiye Wang relative to Taewan Kim South Korea Taewan Kim's profile →
Citations per field
00.5×2×4×5.3×
Taewan Kim · 1×
Citations per year

Countries citing papers authored by Jiye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015113
2 201278
3 201255
4 201746
5 201743
6 201033
7 201332
8 201432
9 201732
10 201528
11 201527
12 201924
13 201922
14 202321
15 202018
16 201417
17 201717
18 202015
19 202315
20 202114

About Jiye Wang

Jiye Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 879 indexed citations. Recurring topics across this work include Power Systems and Technologies (7 papers), Advanced Computational Techniques and Applications (6 papers), High Altitude and Hypoxia (5 papers), Smart Grid Energy Management (5 papers), Network Security and Intrusion Detection (5 papers), Cloud Computing and Resource Management (4 papers), Integrated Energy Systems Optimization (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (37 citations), Endocrine and Autonomic Systems (68 citations), Media Technology (80 citations), Computer Vision and Pattern Recognition (135 citations) and Genetics (133 citations). Jiye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinghao Ding, Delu Zeng, Xueyang Fu, Yue Huang, Wenjing Luo, Mingchao Liu, Zhihua Cheng, Tao Ke, Xiangnan Zhang and Yaoming Chen. Their work appears in journals such as IEEE Transactions on Services Computing, High Altitude Medicine & Biology, Ocean Engineering, Energy Reports and NeuroToxicology.

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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