Khin Lwin
Impact in
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- Risk and Portfolio Optimization
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
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- Sentiment Analysis and Opinion Mining 2
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- Risk and Portfolio Optimization 4
- Co-authors
- Rong Qu (4 shared papers)Mohammad Alamgir Hossain (8 shared papers)Graham Kendall (1 shared paper)Marzia Hoque Tania (6 shared papers)Bart L. MacCarthy (1 shared paper)Antesar Shabut (6 shared papers)Md Aslam Hossain (4 shared papers)M. Shamim Kaiser (2 shared papers)
- Journals
- Expert Systems with Applications (3 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Applied Intelligence (1 paper)European Journal of Operational Research (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- United KingdomBangladeshItaly
In The Last Decade
Khin Lwin
19 papers receiving 732 citations
Peers
Comparison fields: 5 of 97
- Management Science and Operations Research 213
- Finance 96
- Signal Processing 100
- Information Systems 193
- Artificial Intelligence 233
Countries citing papers authored by Khin Lwin
This map shows the geographic impact of Khin Lwin'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 Khin Lwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khin Lwin more than expected).
Fields of papers citing papers by Khin Lwin
This network shows the impact of papers produced by Khin Lwin. 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 Khin Lwin. The network helps show where Khin Lwin may publish in the future.
Co-authors
The 22 scholars most cited alongside Khin Lwin, 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 | 2014 | 139 | |
| 2 | 2017 | 106 | |
| 3 | 2018 | 87 | |
| 4 | 2020 | 81 | |
| 5 | 2018 | 57 | |
| 6 | 2017 | 56 | |
| 7 | 2013 | 53 | |
| 8 | 2018 | 44 | |
| 9 | 2019 | 33 | |
| 10 | 2019 | 27 | |
| 11 | 2019 | 25 | |
| 12 | 2016 | 19 | |
| 13 | 2019 | 12 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2017 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2019 | 1 |
About Khin Lwin
Khin Lwin is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computational Theory and Mathematics and Biomedical Engineering, having authored 19 papers that have together received 763 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Risk and Portfolio Optimization (4 papers), Biosensors and Analytical Detection (3 papers), Advanced Chemical Sensor Technologies (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Traditional Chinese Medicine Studies (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Management Science and Operations Research (213 citations), Finance (96 citations), Signal Processing (100 citations), Information Systems (193 citations) and Artificial Intelligence (233 citations). Khin Lwin has collaborated with scholars based in United Kingdom, Bangladesh and Italy. Frequent co-authors include Rong Qu, Mohammad Alamgir Hossain, Graham Kendall, Marzia Hoque Tania, Bart L. MacCarthy, Antesar Shabut, Md Aslam Hossain, M. Shamim Kaiser, A. E. Sarhan and Mufti Mahmud. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems, Applied Intelligence, European Journal of Operational Research and Engineering Applications of Artificial Intelligence.
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.