Ding Ding
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Finance top 10%
- Banking stability, regulation, efficiency
- Financial Markets and Investment Strategies
Papers in
- Finance 6
- Global Financial Crisis and Policies 4
-
- Complex Systems and Time Series Analysis 3
- Co-authors
- Chong Guan (12 shared papers)Bosheng Ding (2 shared papers)Priyanka Gupta (2 shared papers)Wenting Liu (2 shared papers)Calvin M. L. Chan (1 shared paper)Libo Yin (1 shared paper)Liyan Han (1 shared paper)Yothin Jinjarak (1 shared paper)
- Journals
- Journal of Enterprise Information Management (1 paper)Electronic Markets (1 paper)Quantitative Finance (1 paper)The North American Journal of Economics and Finance (1 paper)Financial Innovation (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Ding Ding
16 papers receiving 230 citations
Ding Ding's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 21
- Finance 47
- Economics and Econometrics 70
- General Economics, Econometrics and Finance 18
- Safety Research 16
Countries citing papers authored by Ding Ding
This map shows the geographic impact of Ding Ding'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 Ding Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ding more than expected).
Fields of papers citing papers by Ding Ding
This network shows the impact of papers produced by Ding Ding. 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 Ding Ding. The network helps show where Ding Ding may publish in the future.
Co-authors
The 16 scholars most cited alongside Ding Ding, 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 | Generative AI: A systematic review using topic modelling techniques Hit paper breakdown → | 2024 | 84 |
| 2 | 2020 | 52 | |
| 3 | 2017 | 23 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 13 | |
| 6 | 2012 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2012 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2019 | 0 |
About Ding Ding
Ding Ding is a scholar working on Finance, Economics and Econometrics, Information Systems, General Economics, Econometrics and Finance and Health Informatics, having authored 19 papers that have together received 240 indexed citations. Recurring topics across this work include Global Financial Crisis and Policies (4 papers), Blockchain Technology Applications and Security (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Complex Systems and Time Series Analysis (3 papers), Computational and Text Analysis Methods (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Global trade and economics (2 papers) and Aesthetic Perception and Analysis (2 papers). The work is most often cited by research in Health Informatics (21 citations), Finance (47 citations), Economics and Econometrics (70 citations), General Economics, Econometrics and Finance (18 citations) and Safety Research (16 citations). Ding Ding has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Chong Guan, Bosheng Ding, Priyanka Gupta, Wenting Liu, Calvin M. L. Chan, Libo Yin, Liyan Han, Yothin Jinjarak, Yannick Timmer and Yinghui Yu. Their work appears in journals such as Journal of Enterprise Information Management, Electronic Markets, Quantitative Finance, The North American Journal of Economics and Finance and Financial Innovation.
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.