Alin Khaliduzzaman

30 papers receiving 304 citations

Alin Khaliduzzaman's Hit Papers

A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal 2025 · 28 citations
280Years since publication510152025

Peers

Alin Khaliduzzaman
Comparison fields: 5 of 69
  • Analytical Chemistry 133
  • Animal Science and Zoology 126
  • Biophysics 22
  • Small Animals 23
  • Developmental Biology 6
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Ana Paula Ayub da Costa Barbon Brazil
Alessandro Ferragina Italy
Marina de Nadai Bonin Gomes Brazil
Rafael Humberto de Carvalho Brazil
Bart Savenije Netherlands
Stephanie M. Fowler Australia
W. R. Hruschka United States
D. Alomar Chile
R.W. Kranen Netherlands
Eli Gjerlaug‐Enger Norway
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Citations per year

Countries citing papers authored by Alin Khaliduzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Alin Khaliduzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alin Khaliduzzaman. 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 Alin Khaliduzzaman. The network helps show where Alin Khaliduzzaman may publish in the future.

Co-authors

The 25 scholars most cited alongside Alin Khaliduzzaman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alin Khaliduzzaman Line = papers co-authored together Alin Khaliduzzaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202339
2 201931
3
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Hit paper breakdown →
202528
4 202121
5 202420
6 202018
7 202016
8 202116
9 201913
10 202212
11 201912
12 201811
13 202510
14 201810
15 20246
16 20236
17 20216
18 20206
19 20205
20 20254

About Alin Khaliduzzaman

Alin Khaliduzzaman is a scholar working on Animal Science and Zoology, Analytical Chemistry, Small Animals, Molecular Biology and Biochemistry, having authored 30 papers that have together received 314 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (17 papers), Animal Nutrition and Physiology (14 papers), Spectroscopy and Chemometric Analyses (13 papers), Animal Behavior and Welfare Studies (5 papers), Identification and Quantification in Food (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Postharvest Quality and Shelf Life Management (2 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Analytical Chemistry (133 citations), Animal Science and Zoology (126 citations), Biophysics (22 citations), Small Animals (23 citations) and Developmental Biology (6 citations). Alin Khaliduzzaman has collaborated with scholars based in Bangladesh, Japan and United States. Frequent co-authors include Mohammed Kamruzzaman, Naoshi Kondo, Tetsuhito Suzuki, Yuichi Ogawa, J.L. Emmert, Md Wadud Ahmed, Md. Toukir Ahmed, Yoshito Saito, Makoto Kuramoto and Rafał Dreżewski. Their work appears in journals such as Computers and Electronics in Agriculture, British Poultry Science, Comprehensive Reviews in Food Science and Food Safety, Critical Reviews in Food Science and Nutrition and Journal of the Science of Food and Agriculture.

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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