Minbo Ma
Impact in
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Transportation top 10%
- Transportation Planning and Optimization
Papers in
-
- Time Series Analysis and Forecasting 3
- Data Management and Algorithms 1
- Co-authors
- Tianrui Li (8 shared papers)Hongjun Wang (1 shared paper)Chongshou Li (1 shared paper)Shenggong Ji (2 shared papers)Peng Xie (2 shared papers)Junbo Zhang (2 shared papers)Pengfei Zhang (1 shared paper)Wei Huang (1 shared paper)
- Journals
- Information Fusion (3 papers)Information Sciences (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Knowledge-Based Systems (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaDenmarkUnited Arab Emirates
In The Last Decade
Minbo Ma
9 papers receiving 303 citations
Minbo Ma's Hit Papers
Peers
Comparison fields: 5 of 77
- Signal Processing 63
- Transportation 29
- Management Science and Operations Research 52
- Building and Construction 52
- Artificial Intelligence 113
Countries citing papers authored by Minbo Ma
This map shows the geographic impact of Minbo Ma'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 Minbo Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minbo Ma more than expected).
Fields of papers citing papers by Minbo Ma
This network shows the impact of papers produced by Minbo Ma. 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 Minbo Ma. The network helps show where Minbo Ma may publish in the future.
Co-authors
The 24 scholars most cited alongside Minbo Ma, 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 | Long sequence time-series forecasting with deep learning: A survey Hit paper breakdown → | 2023 | 164 |
| 2 | 2023 | 46 | |
| 3 | 2023 | 33 | |
| 4 | 2023 | 26 | |
| 5 | 2023 | 18 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 2 |
About Minbo Ma
Minbo Ma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Atmospheric Science, Artificial Intelligence and Management Science and Operations Research, having authored 9 papers that have together received 311 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Forecasting Techniques and Applications (2 papers), Meteorological Phenomena and Simulations (2 papers), Hydrological Forecasting Using AI (2 papers), Stock Market Forecasting Methods (2 papers), Energy Load and Power Forecasting (2 papers), Data Management and Algorithms (1 paper) and Thermal Analysis in Power Transmission (1 paper). The work is most often cited by research in Signal Processing (63 citations), Transportation (29 citations), Management Science and Operations Research (52 citations), Building and Construction (52 citations) and Artificial Intelligence (113 citations). Minbo Ma has collaborated with scholars based in China, Denmark and United Arab Emirates. Frequent co-authors include Tianrui Li, Hongjun Wang, Chongshou Li, Shenggong Ji, Peng Xie, Junbo Zhang, Pengfei Zhang, Wei Huang, Ping Deng and Dexian Wang. Their work appears in journals such as Information Fusion, Information Sciences, IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and SHILAP Revista de lepidopterología.
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.