Hongyang Sun

2.6k citations
104 papers · 1.8k indexed · 1 hit paper · h-index 21

Hongyang Sun

96 papers receiving 1.7k citations

Hit Papers

Progress and Perspective: MXene and MXene‐Based Nanomater...247202120262022202450100150200

Peers

Hongyang Sun
Comparison fields: 5 of 144
  • Hardware and Architecture 140
  • Computer Networks and Communications 337
  • Neurology 114
  • Biological Psychiatry 27
  • Information Systems 214
Replace Shuang Chen with:
Shuang Chen China
Wenhan Wang China
Kang‐Woo Lee South Korea
Yuanlong Li China
Jae-Dong Lee South Korea
Yaqi Liu China
Zhenwei Liu China
Bing Leng China
Yuan Zhang China
Youjie Li China
Hongyang Sun relative to Shuang Chen China Shuang Chen's profile →
Citations per field
00.5×4.8×
Shuang Chen · 1×
Citations per year

Countries citing papers authored by Hongyang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hongyang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20244
4 20247
5 20244
6 20240
7 202417
8 20231
9 20233
10 20222
11 20222
12 2021126
13 20212
14 20203
15 202023
16 201894
17 201750
18 201520
19 20144
20 20092

About Hongyang Sun

Hongyang Sun is a scholar working on Hardware and Architecture, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (27 papers), Parallel Computing and Optimization Techniques (21 papers), Optimization and Search Problems (19 papers), Cloud Computing and Resource Management (17 papers), Scheduling and Optimization Algorithms (13 papers), Distributed systems and fault tolerance (11 papers), IoT and Edge/Fog Computing (7 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Hardware and Architecture (140 citations), Computer Networks and Communications (337 citations) and Neurology (114 citations). Hongyang Sun has collaborated with scholars based in China, United States and France. Frequent co-authors include Guanghui Wang, Haigang Ren, Qingguang Zeng, Rui Wang, Jianwen Zhou, Zhangquan Peng, Zhenping Qiu, Xiaodan Xu, Yelong Zhang and Zheng Liu. Their work appears in journals such as Journal of Parallel and Distributed Computing, Food and Chemical Toxicology, RSC Advances, Acta Pharmacologica Sinica and Journal of Systems Architecture.

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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