Du Ni
Impact in
- Management Information Systems top 10%
- Quality and Supply Management
- Big Data and Business Intelligence
- Strategy and Management top 10%
- Supply Chain Resilience and Risk Management
- Sustainable Supply Chain Management
Papers in
-
- Imbalanced Data Classification Techniques 2
- Co-authors
- Ming K. Lim (10 shared papers)Zhi Xiao (10 shared papers)Bo Zhong (1 shared paper)Ke Гонг (2 shared papers)Maozeng Xu (1 shared paper)Huamin Li (1 shared paper)Jiang Wu (1 shared paper)Yong Wang (1 shared paper)
- Journals
- Soft Computing (3 papers)Expert Systems with Applications (2 papers)IEEE Access (2 papers)Industrial Management & Data Systems (2 papers)Computers & Industrial Engineering (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Du Ni
18 papers receiving 385 citations
Peers
Comparison fields: 5 of 93
- Management Information Systems 95
- Strategy and Management 109
- Industrial and Manufacturing Engineering 66
- Management Science and Operations Research 46
- Radiological and Ultrasound Technology 15
Countries citing papers authored by Du Ni
This map shows the geographic impact of Du Ni'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 Du Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Du Ni more than expected).
Fields of papers citing papers by Du Ni
This network shows the impact of papers produced by Du Ni. 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 Du Ni. The network helps show where Du Ni may publish in the future.
Co-authors
The 11 scholars most cited alongside Du Ni, 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 | 2019 | 148 | |
| 2 | 2022 | 84 | |
| 3 | 2022 | 53 | |
| 4 | 2020 | 32 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 10 | |
| 7 | 2022 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 |
About Du Ni
Du Ni is a scholar working on Artificial Intelligence, Management Science and Operations Research, Accounting, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 18 papers that have together received 402 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (4 papers), Energy Load and Power Forecasting (3 papers), Rough Sets and Fuzzy Logic (3 papers), Brain Tumor Detection and Classification (2 papers), Energy, Environment, and Transportation Policies (2 papers), Imbalanced Data Classification Techniques (2 papers), Psychological Well-being and Life Satisfaction (1 paper) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Management Information Systems (95 citations), Strategy and Management (109 citations), Industrial and Manufacturing Engineering (66 citations), Management Science and Operations Research (46 citations) and Radiological and Ultrasound Technology (15 citations). Du Ni has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ming K. Lim, Zhi Xiao, Bo Zhong, Ke Гонг, Maozeng Xu, Huamin Li, Jiang Wu, Yong Wang, Xiaoguang Jin and Xiaodong Feng. Their work appears in journals such as Soft Computing, Expert Systems with Applications, IEEE Access, Industrial Management & Data Systems and Computers & Industrial Engineering.
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.