Hu Yang

4.2k citations
329 papers · 2.8k · h-index 25

Impact in

Papers in

Hu Yang

290 papers receiving 2.7k citations

Peers

Hu Yang
Comparison fields: 5 of 150
  • Statistics and Probability 1.0k
  • Statistics, Probability and Uncertainty 228
  • Management Science and Operations Research 355
  • Industrial and Manufacturing Engineering 180
  • Numerical Analysis 104
Replace Arjun K. Gupta with:
Arjun K. Gupta United States
Ricardo Fraiman Uruguay
Peter Winker Germany
Shuangzhe Liu Australia
Frédéric Ferraty France
René Henrion Germany
Kai‐Tai Fang Hong Kong
Philippe Vieu France
C. F. Jeff Wu United States
Kai‐Tai Fang China
Hu Yang relative to Arjun K. Gupta United States Arjun K. Gupta's profile →
Citations per field
00.5×4.5×
Arjun K. Gupta · 1×
Citations per year

Countries citing papers authored by Hu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 329 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021230
2 201090
3 201957
4 201055
5 202154
6 201050
7 200850
8 200946
9 200746
10 202245
11 200742
12 201842
13 200841
14 201440
15 202437
16 202237
17 201530
18 201229
19 201129
20 201229

About Hu Yang

Hu Yang is a scholar working on Statistics and Probability, Electrical and Electronic Engineering, Management Science and Operations Research, Aerospace Engineering and Control and Systems Engineering, having authored 329 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (98 papers), Statistical Methods and Inference (93 papers), Matrix Theory and Algorithms (39 papers), Statistical Methods and Bayesian Inference (35 papers), Microwave Engineering and Waveguides (31 papers), Advanced Antenna and Metasurface Technologies (29 papers), Control Systems and Identification (27 papers) and Electromagnetic Scattering and Analysis (27 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Statistics, Probability and Uncertainty (228 citations), Management Science and Operations Research (355 citations), Industrial and Manufacturing Engineering (180 citations) and Numerical Analysis (104 citations). Hu Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhimin Zhang, Shaida S. Rumi, Sanjit Acharya, Noureddine Abidi, Chaohui Guo, Jing Lv, Hanyu Li, Jing Yang, Chengzhi Zhou and Deqiang Liu. Their work appears in journals such as Statistical Papers, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, IEEE Transactions on Antennas and Propagation and IEEE Antennas and Wireless Propagation Letters.

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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