Guanying Wang

1.9k citations
64 papers · 1.2k · h-index 18

Impact in

Papers in

Guanying Wang

56 papers receiving 1.1k citations

Peers

Guanying Wang
Comparison fields: 5 of 118
  • Pharmacology 252
  • Media Technology 109
  • Computer Networks and Communications 252
  • Information Systems 245
  • Nuclear and High Energy Physics 118
Replace Quan Zheng with:
Quan Zheng China
Mohammad A. Rashid New Zealand
G. Huang United States
Lun Hu China
Xin Hong China
Chuang Liu China
Su‐Shing Chen United States
Andrea Marino Italy
Jian Yu China
Tingyang Xu China
Guanying Wang relative to Quan Zheng China Quan Zheng's profile →
Citations per field
00.5×10×20×29.5×
Quan Zheng · 1×
Citations per year

Countries citing papers authored by Guanying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009150
2 1995110
3 2016107
4 199382
5 201373
6 200963
7 199459
8 202051
9 199447
10 201846
11 201246
12 202225
13 202023
14 201123
15 201622
16 201621
17 202119
18 202119
19 202217
20 201814

About Guanying Wang

Guanying Wang is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation and Artificial Intelligence, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (9 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Advanced Data Storage Technologies (7 papers), Advanced Image Fusion Techniques (7 papers), High-Energy Particle Collisions Research (7 papers), Cloud Computing and Resource Management (6 papers), Caching and Content Delivery (6 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Pharmacology (252 citations), Media Technology (109 citations), Computer Networks and Communications (252 citations), Information Systems (245 citations) and Nuclear and High Energy Physics (118 citations). Guanying Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ali R. Butt, Karan Gupta, Prashant Pandey, Takashi Mizuno, Xinzheng Xu, Xiangying Jiang, Cun Zhuang, Hitoshi Ito, Hidehumi Okamoto and Jie Zhang. Their work appears in journals such as Physical review. D, Bioscience Biotechnology and Biochemistry, Neural Computing and Applications, The European Physical Journal C and Food Reviews 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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