Kevin C. Cheng

415 total citations
17 papers, 195 citations indexed

About

Kevin C. Cheng is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics. According to data from OpenAlex, Kevin C. Cheng has authored 17 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Economics, Econometrics and Finance, 7 papers in Finance and 6 papers in Economics and Econometrics. Recurrent topics in Kevin C. Cheng's work include Monetary Policy and Economic Impact (6 papers), Global Financial Crisis and Policies (5 papers) and Global trade and economics (4 papers). Kevin C. Cheng is often cited by papers focused on Monetary Policy and Economic Impact (6 papers), Global Financial Crisis and Policies (5 papers) and Global trade and economics (4 papers). Kevin C. Cheng collaborates with scholars based in United States, Netherlands and Japan. Kevin C. Cheng's 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 and has published in prestigious journals such as IEEE Transactions on Signal Processing, International Economic Journal and International Journal of Reconfigurable Computing.

In The Last Decade

Kevin C. Cheng

17 papers receiving 163 citations

Peers

Kevin C. Cheng
Comparison fields: 5 of 34
  • General Economics, Econometrics and Finance 124
  • Economics and Econometrics 108
  • Finance 87
  • Artificial Intelligence 25
  • Strategy and Management 20
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Anne Péguin-Feissolle France View profile →
Citations per field, relative to Kevin C. Cheng
Kevin C. Cheng · 1×
Citations per year, relative to Kevin C. Cheng
Kevin C. Cheng · 1×

Countries citing papers authored by Kevin C. Cheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
# 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

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.

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