Md Abul Ehsan Bhuiyan

1.3k total citations
33 papers, 938 citations indexed

About

Md Abul Ehsan Bhuiyan is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Md Abul Ehsan Bhuiyan has authored 33 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 14 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Md Abul Ehsan Bhuiyan's work include Precipitation Measurement and Analysis (8 papers), Meteorological Phenomena and Simulations (8 papers) and Soil Moisture and Remote Sensing (6 papers). Md Abul Ehsan Bhuiyan is often cited by papers focused on Precipitation Measurement and Analysis (8 papers), Meteorological Phenomena and Simulations (8 papers) and Soil Moisture and Remote Sensing (6 papers). Md Abul Ehsan Bhuiyan collaborates with scholars based in United States, Bangladesh and Spain. Md Abul Ehsan Bhuiyan's co-authors include Emmanouil N. Anagnostou, Efthymios I. Nikolopoulos, Anna Liljedahl, Chandi Witharana, Emmanouil N. Anagnostou, David W. Wanik, Diego Cerrai, H. M. Imran, Supria Paul and A. K. M. Saiful Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Md Abul Ehsan Bhuiyan

29 papers receiving 919 citations

Peers

Md Abul Ehsan Bhuiyan
Ata Akbari Asanjan United States
Aaron Gerace United States
Jun‐Haeng Heo South Korea
Lori A. Schultz United States
Rouzbeh Nazari United States
Ata Akbari Asanjan United States
Md Abul Ehsan Bhuiyan
Citations per year, relative to Md Abul Ehsan Bhuiyan Md Abul Ehsan Bhuiyan (= 1×) peers Ata Akbari Asanjan

Countries citing papers authored by Md Abul Ehsan Bhuiyan

Since Specialization
Citations

This map shows the geographic impact of Md Abul Ehsan Bhuiyan'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 Md Abul Ehsan Bhuiyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Abul Ehsan Bhuiyan more than expected).

Fields of papers citing papers by Md Abul Ehsan Bhuiyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Abul Ehsan Bhuiyan. 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 Md Abul Ehsan Bhuiyan. The network helps show where Md Abul Ehsan Bhuiyan may publish in the future.

Co-authorship network of co-authors of Md Abul Ehsan Bhuiyan

This figure shows the co-authorship network connecting the top 25 collaborators of Md Abul Ehsan Bhuiyan. A scholar is included among the top collaborators of Md Abul Ehsan Bhuiyan 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 Md Abul Ehsan Bhuiyan. Md Abul Ehsan Bhuiyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Klutse, Nana Ama Browne, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, et al.. (2025). Machine learning approaches for imputing missing meteorological data in Senegal. SHILAP Revista de lepidopterología. 27. 100281–100281.
2.
Sy, Ibrahima, Ibrahima Diouf, Md Abul Ehsan Bhuiyan, et al.. (2025). Machine Learning-Based Prediction of Heatwave-Related Hospitalizations: A Case Study in Matam, Senegal. International Journal of Environmental Research and Public Health. 22(9). 1349–1349.
4.
Biswas, Nishan Kumar, et al.. (2024). Bracing for impact: how shifting precipitation extremes may influence physical climate risks in an uncertain future. Scientific Reports. 14(1). 17398–17398. 8 indexed citations
5.
Chang, Won, et al.. (2023). Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty. The Science of The Total Environment. 898. 165504–165504. 35 indexed citations
6.
Bhuiyan, Md Abul Ehsan, et al.. (2023). Low-Flow (7-Day, 10-Year) Classical Statistical and Improved Machine Learning Estimation Methodologies. Water. 15(15). 2813–2813. 2 indexed citations
7.
Imran, H. M., Md Anwar Hossain, A. K. M. Saiful Islam, et al.. (2021). Impact of Land Cover Changes on Land Surface Temperature and Human Thermal Comfort in Dhaka City of Bangladesh. Earth Systems and Environment. 5(3). 667–693. 143 indexed citations
8.
Bhuiyan, Md Abul Ehsan, et al.. (2021). Artificial Intelligence-Based Techniques for Rainfall Estimation Integrating Multisource Precipitation Datasets. Atmosphere. 12(10). 1239–1239. 31 indexed citations
9.
Bhuiyan, Md Abul Ehsan, et al.. (2020). Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin. SHILAP Revista de lepidopterología. 2(3). 248–266. 59 indexed citations
10.
Witharana, Chandi, Md Abul Ehsan Bhuiyan, & Anna Liljedahl. (2020). Harnessing Commercial Satellite Imagery, Artificial Intelligence, and High Performance Computing to Characterize Ice-wedge Polygonal Tundra. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
11.
Derin, Yagmur, Md Abul Ehsan Bhuiyan, Emmanouil N. Anagnostou, John Kalogiros, & Marios N. Anagnostou. (2020). Modeling Level 2 Passive Microwave Precipitation Retrieval Error Over Complex Terrain Using a Nonparametric Statistical Technique. IEEE Transactions on Geoscience and Remote Sensing. 59(11). 9021–9032. 18 indexed citations
12.
Bhuiyan, Md Abul Ehsan, Chandi Witharana, & Anna Liljedahl. (2020). Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types. Journal of Imaging. 6(12). 137–137. 43 indexed citations
13.
Witharana, Chandi, Md Abul Ehsan Bhuiyan, & Anna Liljedahl. (2020). BIG IMAGERY AND HIGH PERFORMANCE COMPUTING AS RESOURCES TO UNDERSTAND CHANGING ARCTIC POLYGONAL TUNDRA. SHILAP Revista de lepidopterología. XLIV-M-2-2020. 111–116. 5 indexed citations
14.
Bhuiyan, Md Abul Ehsan, Chandi Witharana, & Anna Liljedahl. (2019). Big Imagery as a Resource to Understand Patterns, Dynamics, and Vulnerability of Arctic Polygonal Tundra. AGUFM. 2019. 5 indexed citations
15.
Witharana, Chandi, Md Abul Ehsan Bhuiyan, & Anna Liljedahl. (2019). Towards First pan-Arctic Ice-wedge Polygon Map: Understanding the Synergies of Data Fusion and Deep Learning in Automated Ice-wedge Polygon Detection from High Resolution Commercial Satellite Imagery. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
16.
Bhuiyan, Md Abul Ehsan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, et al.. (2019). Assessment of precipitation error propagation in multi-model global water resource reanalysis. Hydrology and earth system sciences. 23(4). 1973–1994. 49 indexed citations
17.
Nikolopoulos, Efthymios I., Elisa Destro, Md Abul Ehsan Bhuiyan, Marco Borga, & Emmanouil N. Anagnostou. (2018). Evaluation of predictive models for post-fire debris flow occurrence in the western United States. Natural hazards and earth system sciences. 18(9). 2331–2343. 22 indexed citations
18.
Bhuiyan, Md Abul Ehsan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Pere Quintana‐Seguí, & Anaïs Barella-Ortiz. (2018). A nonparametric statistical technique for combining global precipitation datasets: development and hydrological evaluation over the Iberian Peninsula. Hydrology and earth system sciences. 22(2). 1371–1389. 83 indexed citations
19.
Bhuiyan, Md Abul Ehsan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Pere Quintana‐Seguí, & Anaïs Barella-Ortiz. (2017). A Nonparametric Statistical Technique for Combining Global Precipitation Datasets: Development and Hydrological Evaluation over the Iberian Peninsula. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
20.
Cerrai, Diego, Emmanouil N. Anagnostou, David W. Wanik, et al.. (2016). Enhanced outage prediction modeling for strong extratropical storms and hurricanes in the Northeastern United States. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

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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