Xiaoping Li
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- Scheduling and Optimization Algorithms 74
- Advanced Manufacturing and Logistics Optimization 47
- Assembly Line Balancing Optimization 32
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- Distributed and Parallel Computing Systems 42
- IoT and Edge/Fog Computing 33
- Information Systems top 0.5%
- Cloud Computing and Resource Management 68
- Biochemistry top 5%
- Artificial Intelligence top 2%
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- Hydraulic Fracturing and Reservoir Analysis 18
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- Plasma Diagnostics and Applications 17
- Co-authors
- Rubén RuízZhicheng CaiJie ZhuYi ZhangQian WangYanming LiuYadi WangKefa Cen
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsInformation Systems
- Journals
- IEEE Transactions on Services Computing (9 papers)International Journal of Machine Learning and Cybernetics (8 papers)IEEE Transactions on Plasma Science (6 papers)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Xiaoping Li
338 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 182
- Industrial and Manufacturing Engineering 1.0k
- Computer Networks and Communications 1.1k
- Information Systems 930
- Biochemistry 171
- Artificial Intelligence 642
Countries citing papers authored by Xiaoping Li
This map shows the geographic impact of Xiaoping Li'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 Xiaoping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Li more than expected).
Fields of papers citing papers by Xiaoping Li
This network shows the impact of papers produced by Xiaoping Li. 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 Xiaoping Li. The network helps show where Xiaoping Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoping Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 59 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 7 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 28 | |
| 17 | 2017 | 5 | |
| 18 | The Hierarchical Coordinated Optimizing Control of AGC and AVC System Based on Event-driven System | 2012 | 1 |
| 19 | 2008 | 47 | |
| 20 | 2001 | 4 |
About Xiaoping Li
Xiaoping Li is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Information Systems, having authored 368 papers that have together received 4.8k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (74 papers), Cloud Computing and Resource Management (68 papers), Advanced Manufacturing and Logistics Optimization (47 papers), Distributed and Parallel Computing Systems (42 papers), IoT and Edge/Fog Computing (33 papers), Assembly Line Balancing Optimization (32 papers), Hydraulic Fracturing and Reservoir Analysis (18 papers) and Plasma Diagnostics and Applications (17 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Computer Networks and Communications (1.1k citations) and Information Systems (930 citations). Xiaoping Li has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Rubén Ruíz, Zhicheng Cai, Jie Zhu, Yi Zhang, Qian Wang, Yanming Liu, Yadi Wang, Kefa Cen, Jatinder N.D. Gupta and Abdullah Lakhan. Their work appears in journals such as IEEE Transactions on Services Computing, International Journal of Machine Learning and Cybernetics, IEEE Transactions on Plasma Science, IEEE Transactions on Parallel and Distributed Systems and Information Sciences.
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.