Dawei Cheng
-
- Stock Market Forecasting Methods 16
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 11
- Imbalanced Data Classification Techniques 10
- Topic Modeling 7
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction 14
- Signal Processing top 5%
- Finance top 5%
- Banking stability, regulation, efficiency 10
-
- Energy Load and Power Forecasting 6
-
- FinTech, Crowdfunding, Digital Finance 5
Dawei Cheng
65 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Management Science and Operations Research 255
- Artificial Intelligence 597
- Accounting 124
- Signal Processing 104
- Finance 93
Countries citing papers authored by Dawei Cheng
This map shows the geographic impact of Dawei Cheng'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 Dawei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Cheng more than expected).
Fields of papers citing papers by Dawei Cheng
This network shows the impact of papers produced by Dawei Cheng. 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 Dawei Cheng. The network helps show where Dawei Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dawei Cheng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 41 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 35 | |
| 19 | ProtoNet: Learning from Web Data with Memory | 2019 | 1 |
| 20 | Learning from Web Data with Memory Module | 2019 | 0 |
About Dawei Cheng
Dawei Cheng is a scholar working on Finance, Computational Mathematics, Management Science and Operations Research, Accounting and Artificial Intelligence, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (16 papers), Financial Distress and Bankruptcy Prediction (14 papers), Advanced Graph Neural Networks (11 papers), Imbalanced Data Classification Techniques (10 papers), Banking stability, regulation, efficiency (10 papers), Topic Modeling (7 papers), Energy Load and Power Forecasting (6 papers) and FinTech, Crowdfunding, Digital Finance (5 papers). The work is most often cited by research in Management Science and Operations Research (255 citations), Artificial Intelligence (597 citations), Accounting (124 citations), Signal Processing (104 citations) and Finance (93 citations). Dawei Cheng has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Sheng Xiang, Fangzhou Yang, Liqing Zhang, Ying Zhang, Jin Liu, Xiaoyang Wang, Zhibin Niu, Yi Tu, Changjun Jiang and Yifeng Luo. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, The VLDB Journal and Pattern Recognition.
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.