Peng Hui

60 papers receiving 1.2k citations

Peers

Peng Hui
Comparison fields: 5 of 120
  • Marketing 421
  • Information Systems and Management 212
  • Organizational Behavior and Human Resource Management 101
  • Economics and Econometrics 205
  • Catalysis 45
Replace Carlos Rodríguez Monroy with:
Carlos Rodríguez Monroy Spain
Junghun Kim South Korea
Sayed Fayaz Ahmad Pakistan
Anas A. Salameh Saudi Arabia
Shiyong Zheng China
Cheng Wang China
Andry Alamsyah Indonesia
Sai Hong Tang Malaysia
Peng Hui relative to Carlos Rodríguez Monroy Spain Carlos Rodríguez Monroy's profile →
Citations per field
00.5×5.6×
Carlos Rodríguez Monroy · 1×
Citations per year

Countries citing papers authored by Peng Hui

Since Specialization
Citations

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

Fields of papers citing papers by Peng Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017180
2 2021160
3 2018137
4 2018130
5 202066
6 201658
7 202051
8 201750
9 201935
10 201933
11 202027
12 201727
13 201925
14
Cooperative area search for multiple UAVs based on RRT and decentralized receding horizon optimization
200920
15 201720
16 200718
17 201815
18
Multiple UAV Cooperative Area Search Based on Distributed Model Predictive Control
201014
19 201814
20 202112

About Peng Hui

Peng Hui is a scholar working on Control and Systems Engineering, Sociology and Political Science, Marketing, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Consumer Retail Behavior Studies (9 papers), Digital Marketing and Social Media (7 papers), Consumer Market Behavior and Pricing (7 papers), Robotic Path Planning Algorithms (6 papers), Consumer Behavior in Brand Consumption and Identification (6 papers), Innovative concrete reinforcement materials (5 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Marketing (421 citations), Information Systems and Management (212 citations), Organizational Behavior and Human Resource Management (101 citations), Economics and Econometrics (205 citations) and Catalysis (45 citations). Peng Hui has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Umair Akram, Muhammad Kaleem Khan, Zubair Akram, Junzheng Wang, Jiehao Li, Yasir Tanveer, Yingbai Hu, Hang Su, Wasim Ahmad and Khalid Mehmood. Their work appears in journals such as Environmental Science and Pollution Research, Structures, Asia Pacific Journal of Marketing and Logistics, International Journal of Pressure Vessels and Piping and Construction and Building Materials.

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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