Alin Khaliduzzaman

490 total citations · 1 hit paper
30 papers, 280 citations indexed

About

Alin Khaliduzzaman is a scholar working on Animal Science and Zoology, Analytical Chemistry and Small Animals. According to data from OpenAlex, Alin Khaliduzzaman has authored 30 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Animal Science and Zoology, 13 papers in Analytical Chemistry and 5 papers in Small Animals. Recurrent topics in Alin Khaliduzzaman's work include Meat and Animal Product Quality (18 papers), Animal Nutrition and Physiology (14 papers) and Spectroscopy and Chemometric Analyses (13 papers). Alin Khaliduzzaman is often cited by papers focused on Meat and Animal Product Quality (18 papers), Animal Nutrition and Physiology (14 papers) and Spectroscopy and Chemometric Analyses (13 papers). Alin Khaliduzzaman collaborates with scholars based in Japan, Bangladesh and United States. Alin Khaliduzzaman's co-authors include Naoshi Kondo, Yuichi Ogawa, Tetsuhito Suzuki, Mohammed Kamruzzaman, J.L. Emmert, Md Wadud Ahmed, Md. Toukir Ahmed, Yoshito Saito, Shoffan Saifullah and Makoto Kuramoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Alin Khaliduzzaman

30 papers receiving 269 citations

Hit Papers

A comprehensive review of deep learning-based hyperspectr... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alin Khaliduzzaman Japan 12 128 124 57 54 46 30 280
Ana Paula Ayub da Costa Barbon Brazil 10 156 1.2× 232 1.9× 89 1.6× 144 2.7× 32 0.7× 18 389
D. Alomar Chile 8 212 1.7× 220 1.8× 82 1.4× 90 1.7× 12 0.3× 16 347
Alessandro Ferragina Italy 12 243 1.9× 178 1.4× 66 1.2× 73 1.4× 22 0.5× 28 444
M. Prevolnik Slovenia 12 381 3.0× 257 2.1× 56 1.0× 128 2.4× 14 0.3× 21 475
K. Itoh Japan 7 153 1.2× 235 1.9× 53 0.9× 75 1.4× 21 0.5× 15 355
Eli Gjerlaug‐Enger Norway 11 223 1.7× 66 0.5× 36 0.6× 36 0.7× 18 0.4× 15 320
P. Shatadal United States 8 112 0.9× 184 1.5× 41 0.7× 71 1.3× 106 2.3× 8 330
W. R. Hruschka United States 11 154 1.2× 229 1.8× 55 1.0× 87 1.6× 139 3.0× 18 390
R.W. Kranen Netherlands 10 384 3.0× 105 0.8× 38 0.7× 79 1.5× 18 0.4× 11 447
Stephanie M. Fowler Australia 17 412 3.2× 281 2.3× 154 2.7× 149 2.8× 14 0.3× 44 597

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-authorship network of co-authors of Alin Khaliduzzaman

This figure shows the co-authorship network connecting the top 25 collaborators of Alin Khaliduzzaman. A scholar is included among the top collaborators of Alin Khaliduzzaman 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 Alin Khaliduzzaman. Alin Khaliduzzaman 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.
Ahmed, Md. Toukir, et al.. (2025). A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal. Artificial Intelligence Review. 58(4). 20 indexed citations breakdown →
2.
Khaliduzzaman, Alin, et al.. (2025). Non‐destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence. Journal of the Science of Food and Agriculture. 105(10). 5550–5562. 1 indexed citations
3.
Ahmed, Md Wadud, Alin Khaliduzzaman, J.L. Emmert, & Mohammed Kamruzzaman. (2024). An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry. Computers and Electronics in Agriculture. 230. 109847–109847. 16 indexed citations
5.
Saifullah, Shoffan, Rafał Dreżewski, Anton Yudhana, et al.. (2023). Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms. Selamat Datang di Repository UAD (Universitas Ahmad Dahlan). 9(3). 854–871. 2 indexed citations
6.
Haque, Md. Azizul, et al.. (2023). Dietary food antioxidants and their radical scavenging activity: A review. International Food Research Journal. 30(1). 63–78. 1 indexed citations
7.
Ahmed, Md Wadud, et al.. (2023). Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review. Comprehensive Reviews in Food Science and Food Safety. 22(6). 4378–4403. 34 indexed citations
8.
Haque, Md. Azizul, et al.. (2023). Dietary food antioxidants and their radical scavenging activity: A review. International Food Research Journal. 30(1). 63–78. 4 indexed citations
9.
Khaliduzzaman, Alin, et al.. (2023). Non-invasive classification of single and double-yolk eggs using Vis-NIR spectroscopy and multivariate analysis. British Poultry Science. 64(2). 195–203. 6 indexed citations
10.
Saifullah, Shoffan, et al.. (2022). K-Means Segmentation Based-on Lab Color Space for Embryo Detection in Incubated Egg. arXiv (Cornell University). 8(2). 175–175. 12 indexed citations
11.
Khaliduzzaman, Alin, et al.. (2021). Research Note: Nondestructive detection of super grade chick embryos or hatchlings using near-infrared spectroscopy. Poultry Science. 100(7). 101189–101189. 3 indexed citations
12.
Haque, Md. Azizul, et al.. (2021). High carbon-di-oxide modified atmospheric packaging on quality of ready-to-eat minimally processed fresh-cut iceberg lettuce. Food Science and Biotechnology. 30(3). 413–421. 5 indexed citations
13.
Khaliduzzaman, Alin, et al.. (2021). Antioxidant assessment of agricultural produce using fluorescence techniques: a review. Critical Reviews in Food Science and Nutrition. 63(19). 3704–3715. 14 indexed citations
14.
Khaliduzzaman, Alin, et al.. (2021). Non-invasive Detection of Chick Embryo Gender Based on Body Motility and a Near-infrared Sensor. Engineering in Agriculture Environment and Food. 14(2). 45–53. 1 indexed citations
15.
Khaliduzzaman, Alin, et al.. (2020). A Nondestructive Eggshell Thickness Measurement Technique Using Terahertz Waves. Scientific Reports. 10(1). 1052–1052. 17 indexed citations
16.
Riza, Dimas Firmanda Al, et al.. (2020). Association of fruit, pericarp, and epidermis traits with surface autofluorescence in green peppers. Photochemical & Photobiological Sciences. 19(12). 1630–1635. 6 indexed citations
18.
Khaliduzzaman, Alin, et al.. (2020). Nondestructive sex-specific monitoring of early embryonic development rate in white layer chicken eggs using visible light transmission. British Poultry Science. 61(2). 209–216. 15 indexed citations
19.
Khaliduzzaman, Alin & Ayesha Siddika. (2014). Design of food safety system for Fried Chicken plant based on HACCP system. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Khaliduzzaman, Alin. (2013). The design of HACCP plan for chicken ball plant in Bangladesh.. Journal of Hygienic Engineering and Design. 4. 38–45. 3 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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