Yi Qu
Impact in
-
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
-
- Job Satisfaction and Organizational Behavior
Papers in
-
- International Business and FDI 6
-
- Energy Efficient Wireless Sensor Networks 3
- Mobile Ad Hoc Networks 3
- Co-authors
- Ke Xu (5 shared papers)Kun Yang (1 shared paper)Honglei Li (1 shared paper)Jing Qian (3 shared papers)Bin Wang (3 shared papers)Yingqi Wei (3 shared papers)Ting Qu (1 shared paper)Maxx Q. Arguilla (1 shared paper)
- Journals
- Kybernetes (3 papers)Frontiers in Psychology (3 papers)IEEE Network (2 papers)Journal of Chinese Economic and Business Studies (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Yi Qu
41 papers receiving 446 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 124
- Organizational Behavior and Human Resource Management 43
- General Energy 3
- Strategy and Management 43
- Business and International Management 5
Countries citing papers authored by Yi Qu
This map shows the geographic impact of Yi Qu'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 Yi Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Qu more than expected).
Fields of papers citing papers by Yi Qu
This network shows the impact of papers produced by Yi Qu. 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 Yi Qu. The network helps show where Yi Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2019 | 65 | |
| 3 | 2021 | 33 | |
| 4 | 2018 | 25 | |
| 5 | 2020 | 21 | |
| 6 | 2009 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2017 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2008 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About Yi Qu
Yi Qu is a scholar working on Strategy and Management, Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 44 papers that have together received 464 indexed citations. Recurring topics across this work include International Business and FDI (6 papers), Global trade and economics (5 papers), Corporate Finance and Governance (5 papers), Job Satisfaction and Organizational Behavior (4 papers), Knowledge Management and Sharing (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Energy Harvesting in Wireless Networks (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (124 citations), Organizational Behavior and Human Resource Management (43 citations), General Energy (3 citations), Strategy and Management (43 citations) and Business and International Management (5 citations). Yi Qu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Ke Xu, Kun Yang, Honglei Li, Jing Qian, Bin Wang, Yingqi Wei, Ting Qu, Maxx Q. Arguilla, Qiang Zhang and Chung–Horng Lung. Their work appears in journals such as Kybernetes, Frontiers in Psychology, IEEE Network, Journal of Chinese Economic and Business Studies and PLoS ONE.
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.