Kevin C. Cheng
- General Economics, Econometrics and Finance top 5%
- Economics and Econometrics top 10%
- Finance top 10%
- Artificial Intelligence
- Strategy and Management
- Co-authors
- Dulani SeneviratneRomain DuvalSidra RehmanXiaodong LiuYūji MatsumotoRahul AnandKevin DuhLongmei Zhang
- Topics
- Monetary Policy and Economic Impact (6 papers)Global Financial Crisis and Policies (5 papers)Global trade and economics (4 papers)
- Journals
- IEEE Transactions on Signal ProcessingInternational Economic JournalInternational Journal of Reconfigurable Computing
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Kevin C. Cheng
17 papers receiving 163 citations
Peers
Comparison fields: 5 of 34
- General Economics, Econometrics and Finance 124
- Economics and Econometrics 108
- Finance 87
- Artificial Intelligence 25
- Strategy and Management 20
Countries citing papers authored by Kevin C. Cheng
This map shows the geographic impact of Kevin C. 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 Kevin C. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin C. Cheng more than expected).
Fields of papers citing papers by Kevin C. Cheng
This network shows the impact of papers produced by Kevin C. 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 Kevin C. Cheng. The network helps show where Kevin C. Cheng may publish in the future.
Co-authorship network of co-authors of Kevin C. Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Cheng. A scholar is included among the top collaborators of Kevin C. Cheng 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 Kevin C. Cheng. Kevin C. Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 10 | |
| 4 | 47 | |
| 5 | 7 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | 3 | |
| 10 | A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking | 25 |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | Economic Developmentand Western China : Why the Past and Where the Future? | 1 |
About Kevin C. Cheng
Kevin C. Cheng is a scholar working on General Economics, Econometrics and Finance, Finance and Business and International Management, having authored 17 papers that have together received 195 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (6 papers), Global Financial Crisis and Policies (5 papers) and Global trade and economics (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (124 citations), Finance (87 citations) and Economics and Econometrics (108 citations). Kevin C. Cheng has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Dulani Seneviratne, Romain Duval, Sidra Rehman, Xiaodong Liu, Yūji Matsumoto, Rahul Anand, Kevin Duh, Longmei Zhang, Gee Hee Hong and Abbas Dandache. Their work appears in journals such as IEEE Transactions on Signal Processing, International Economic Journal and International Journal of Reconfigurable Computing.
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.