Ming Dong
About
In The Last Decade
Ming Dong
40 papers receiving 617 citations
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 346
- Control and Systems Engineering 171
- Materials Chemistry 90
- Biomedical Engineering 81
- Safety, Risk, Reliability and Quality 58
Countries citing papers authored by Ming Dong
This map shows the geographic impact of Ming Dong'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 Ming Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Dong more than expected).
Fields of papers citing papers by Ming Dong
This network shows the impact of papers produced by Ming Dong. 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 Ming Dong. The network helps show where Ming Dong may publish in the future.
Co-authorship network of co-authors of Ming Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Dong. A scholar is included among the top collaborators of Ming Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Dong. Ming Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 26 | |
| 3 | 22 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | 22 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | A Hybrid Long-Term Load Forecasting Model for Distribution Feeder Peak Demand using LSTM Neural Network. | 2 |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | 119 | |
| 17 | 89 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | A New Measure of Classifiability and its Applications | 1 |
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.