Cong Ma
Impact in
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- Hydrological Forecasting Using AI
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- Stock Market Forecasting Methods
Papers in
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- Energy Load and Power Forecasting 6
- Co-authors
- Jie Fan (1 shared paper)Jixiang Fang (1 shared paper)Junmin Liu (2 shared papers)David J. Lilja (1 shared paper)Yuan Ji (1 shared paper)Lizhen Ji (3 shared papers)Youyi Xia (3 shared papers)Erting Li (1 shared paper)
- Journals
- Neurocomputing (3 papers)Applied Soft Computing (2 papers)Neural Computing and Applications (2 papers)RSC Advances (2 papers)Dalton Transactions (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Cong Ma
39 papers receiving 417 citations
Peers
Comparison fields: 5 of 88
- Environmental Engineering 63
- Management Science and Operations Research 49
- Electronic, Optical and Magnetic Materials 58
- Water Science and Technology 42
- Mechanics of Materials 71
Countries citing papers authored by Cong Ma
This map shows the geographic impact of Cong 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 Cong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Ma more than expected).
Fields of papers citing papers by Cong Ma
This network shows the impact of papers produced by Cong 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 Cong Ma. The network helps show where Cong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 53 | |
| 2 | 2016 | 50 | |
| 3 | 2020 | 36 | |
| 4 | 2021 | 34 | |
| 5 | 2015 | 33 | |
| 6 | 2022 | 26 | |
| 7 | 2012 | 20 | |
| 8 | 2019 | 18 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 13 | |
| 11 | 2014 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2001 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 5 |
About Cong Ma
Cong Ma is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Materials Chemistry and Ecology, having authored 43 papers that have together received 428 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (6 papers), Stock Market Forecasting Methods (5 papers), Hydrology and Watershed Management Studies (3 papers), Remote Sensing in Agriculture (3 papers), Financial Markets and Investment Strategies (3 papers), Nanocluster Synthesis and Applications (3 papers), Soil erosion and sediment transport (2 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Environmental Engineering (63 citations), Management Science and Operations Research (49 citations), Electronic, Optical and Magnetic Materials (58 citations), Water Science and Technology (42 citations) and Mechanics of Materials (71 citations). Cong Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Fan, Jixiang Fang, Junmin Liu, David J. Lilja, Yuan Ji, Lizhen Ji, Youyi Xia, Erting Li, Jian Cao and Chunhua Shi. Their work appears in journals such as Neurocomputing, Applied Soft Computing, Neural Computing and Applications, RSC Advances and Dalton Transactions.
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.