Haoxin Wang

495 citations
34 papers · 333 · h-index 10

Impact in

Papers in

Haoxin Wang

32 papers receiving 326 citations

Peers

Haoxin Wang
Comparison fields: 5 of 62
  • Inorganic Chemistry 57
  • Computer Networks and Communications 71
  • Computer Vision and Pattern Recognition 48
  • Energy Engineering and Power Technology 7
  • Electrical and Electronic Engineering 126
Replace P. Suresh with:
P. Suresh India
Rohit Bajaj India
Ziyad M. Almohaimeed Saudi Arabia
Hyunchul Kang South Korea
Trong Nghia Le Vietnam
Qixia Zhang China
Xin Shen China
Chengyang Luo China
Yu Gai China
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Countries citing papers authored by Haoxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haoxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 202357
3 202044
4 202415
5 201915
6 201214
7 201913
8 202413
9 202412
10 201810
11 20187
12 20226
13
The Present Status and Prospect of Multi-Missile Cooperative Guidance Law
20115
14 20225
15 20243
16 20253
17 20223
18 20243
19 20232
20 20232

About Haoxin Wang

Haoxin Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 34 papers that have together received 333 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Time Series Analysis and Forecasting (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Stock Market Forecasting Methods (3 papers), Green IT and Sustainability (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Neural Network Applications (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Inorganic Chemistry (57 citations), Computer Networks and Communications (71 citations), Computer Vision and Pattern Recognition (48 citations), Energy Engineering and Power Technology (7 citations) and Electrical and Electronic Engineering (126 citations). Haoxin Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jiang Xie, Bixiong Li, Site Mo, Yusuke Yamauchi, Ahmed F. M. EL‐Mahdy, Tao Chen, Mohamed B. Zakaria, Shiao‐Wei Kuo, Xianggen Liu and Zhu Han. Their work appears in journals such as Nuclear Physics B, Neurocomputing, Information Sciences, International Journal of Fuzzy Systems and Science China Physics Mechanics and Astronomy.

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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