Xiaomei Ding
Impact in
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- Supply Chain and Inventory Management
- Advanced Queuing Theory Analysis
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- Auction Theory and Applications
- Forecasting Techniques and Applications
Papers in
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- IoT and Edge/Fog Computing 3
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- Organic Electronics and Photovoltaics 3
- Electrochemical sensors and biosensors 2
- Co-authors
- Arnab Bisi (2 shared papers)Martin L. Puterman (2 shared papers)Daiki Kuzuhara (3 shared papers)Duyen K. Tran (3 shared papers)Samson A. Jenekhe (3 shared papers)Tomoyuki Koganezawa (3 shared papers)Li Wang (4 shared papers)Yiqian Wan (1 shared paper)
- Journals
- Operations Research (2 papers)Transportation Research Part D Transport and Environment (1 paper)Inorganica Chimica Acta (1 paper)Chemistry of Materials (1 paper)Journal of Inorganic Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaomei Ding
19 papers receiving 292 citations
Peers
Comparison fields: 5 of 73
- Management Information Systems 111
- Management Science and Operations Research 75
- Marketing 44
- Polymers and Plastics 66
- Statistics, Probability and Uncertainty 16
Countries citing papers authored by Xiaomei Ding
This map shows the geographic impact of Xiaomei Ding'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 Xiaomei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Ding more than expected).
Fields of papers citing papers by Xiaomei Ding
This network shows the impact of papers produced by Xiaomei Ding. 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 Xiaomei Ding. The network helps show where Xiaomei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomei Ding, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 137 | |
| 2 | 2017 | 36 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 29 | |
| 5 | 2019 | 19 | |
| 6 | 2020 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2011 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2005 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2025 | 0 |
About Xiaomei Ding
Xiaomei Ding is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Organic Chemistry, Polymers and Plastics and Information Systems, having authored 21 papers that have together received 305 indexed citations. Recurring topics across this work include Conducting polymers and applications (4 papers), Organic Electronics and Photovoltaics (3 papers), melanin and skin pigmentation (3 papers), IoT and Edge/Fog Computing (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Electrochemical sensors and biosensors (2 papers), Synthesis and biological activity (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Management Information Systems (111 citations), Management Science and Operations Research (75 citations), Marketing (44 citations), Polymers and Plastics (66 citations) and Statistics, Probability and Uncertainty (16 citations). Xiaomei Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Arnab Bisi, Martin L. Puterman, Daiki Kuzuhara, Duyen K. Tran, Samson A. Jenekhe, Tomoyuki Koganezawa, Li Wang, Yiqian Wan, Xinhai Zhu and Manna Huang. Their work appears in journals such as Operations Research, Transportation Research Part D Transport and Environment, Inorganica Chimica Acta, Chemistry of Materials and Journal of Inorganic Biochemistry.
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.