Diane E. Chan

2.4k total citations
74 papers, 1.7k citations indexed

About

Diane E. Chan is a scholar working on Analytical Chemistry, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Diane E. Chan has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Analytical Chemistry, 23 papers in Biomedical Engineering and 20 papers in Biotechnology. Recurrent topics in Diane E. Chan's work include Spectroscopy and Chemometric Analyses (56 papers), Listeria monocytogenes in Food Safety (20 papers) and Advanced Chemical Sensor Technologies (18 papers). Diane E. Chan is often cited by papers focused on Spectroscopy and Chemometric Analyses (56 papers), Listeria monocytogenes in Food Safety (20 papers) and Advanced Chemical Sensor Technologies (18 papers). Diane E. Chan collaborates with scholars based in United States, South Korea and China. Diane E. Chan's co-authors include Kuanglin Chao, Yud-Ren Chen, Alan M. Lefcourt, Moon S. Kim, Jianwei Qin, Patrick M. Mehl, Byoung–Kwan Cho, Sagar Dhakal, Moon Il Kim and Moon S. Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Diane E. Chan

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane E. Chan United States 23 1.3k 547 391 369 324 74 1.7k
Seung-Chul Yoon United States 29 1.3k 1.0× 646 1.2× 361 0.9× 581 1.6× 283 0.9× 118 2.0k
Hoonsoo Lee South Korea 25 1.5k 1.2× 610 1.1× 534 1.4× 486 1.3× 414 1.3× 78 2.0k
Changyeun Mo South Korea 26 1.3k 1.0× 604 1.1× 674 1.7× 378 1.0× 508 1.6× 99 2.1k
Yud-Ren Chen United States 26 1.7k 1.3× 760 1.4× 586 1.5× 404 1.1× 372 1.1× 83 2.4k
Bosoon Park United States 31 1.3k 1.0× 1.0k 1.9× 266 0.7× 702 1.9× 579 1.8× 141 2.5k
Alessandro Ulrici Italy 35 1.2k 0.9× 964 1.8× 491 1.3× 284 0.8× 412 1.3× 127 3.0k
Xiaping Fu China 23 1.2k 1.0× 473 0.9× 441 1.1× 376 1.0× 268 0.8× 64 1.6k
Y. X. Feng China 16 960 0.8× 628 1.1× 163 0.4× 365 1.0× 294 0.9× 41 1.6k
Stephen R. Delwiche United States 31 1.8k 1.4× 402 0.7× 1.0k 2.6× 616 1.7× 200 0.6× 100 2.6k

Countries citing papers authored by Diane E. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Diane E. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane E. Chan. 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 Diane E. Chan. The network helps show where Diane E. Chan may publish in the future.

Co-authorship network of co-authors of Diane E. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Diane E. Chan. A scholar is included among the top collaborators of Diane E. Chan 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 Diane E. Chan. Diane E. Chan 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
2.
Amanah, Hanim Zuhrotul, Insuck Baek, Moon S. Kim, et al.. (2023). Hyperspectral imaging techniques for detection of foreign materials from fresh-cut vegetables. Postharvest Biology and Technology. 201. 112373–112373. 21 indexed citations
3.
Gorji, Hamed Taheri, Jianwei Qin, Diane E. Chan, et al.. (2023). Federated Learning for Clients’ Data Privacy Assurance in Food Service Industry. Applied Sciences. 13(16). 9330–9330. 4 indexed citations
4.
Kim, Yong-Kyoung, Insuck Baek, Kyungmin Lee, et al.. (2023). Rapid Detection of Single- and Co-Contaminant Aflatoxins and Fumonisins in Ground Maize Using Hyperspectral Imaging Techniques. Toxins. 15(7). 472–472. 20 indexed citations
5.
Tavakolian, Kouhyar, Alireza Akhbardeh, Nicholas MacKinnon, et al.. (2021). Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?. Applied Sciences. 11(22). 10628–10628. 7 indexed citations
6.
Gorji, Hamed Taheri, Fartash Vasefi, Nadeem A. Khan, et al.. (2021). Handheld Multispectral Fluorescence Imaging System to Detect and Disinfect Surface Contamination. Sensors. 21(21). 7222–7222. 11 indexed citations
7.
Baek, Insuck, Hoonsoo Lee, Byoung–Kwan Cho, et al.. (2020). Shortwave infrared hyperspectral imaging system coupled with multivariable method for TVB-N measurement in pork. Food Control. 124. 107854–107854. 47 indexed citations
8.
Kim, Geonwoo, Insuck Baek, Matthew Stocker, et al.. (2020). Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water. Remote Sensing. 12(13). 2070–2070. 17 indexed citations
9.
Vasefi, Fartash, Li Kang, Rosalee S. Hellberg, et al.. (2019). Multimode optical imaging for identification of fish fillet substitution and mislabeling (Conference Presentation). 5–5. 1 indexed citations
10.
Qin, Jianwei, Jo Ann S. Van Kessel, Mirae Oh, et al.. (2018). Evaluation of SERS Nanoparticles to Detect Bacillus cereus and Bacillus thuringiensis. Journal of Biosystems Engineering. 43(4). 394–400. 1 indexed citations
11.
Qin, Jianwei, Moon Il Kim, Kuanglin Chao, et al.. (2017). Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications. Applied Sciences. 7(2). 125–125. 70 indexed citations
12.
Dhakal, Sagar, Kuanglin Chao, Walter Schmidt, et al.. (2016). Evaluation of Turmeric Powder Adulterated with Metanil Yellow Using FT-Raman and FT-IR Spectroscopy. Foods. 5(2). 36–36. 122 indexed citations
13.
Cheng, Yu‐Che, Jianwei Qin, Jongguk Lim, et al.. (2012). An investigation of FT-Raman spectroscopy for quantification of additives to milk. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8369. 83690W–83690W. 3 indexed citations
14.
Yang, Chun‐Chieh, Moon S. Kim, P. D. Millner, Kuanglin Chao, & Diane E. Chan. (2012). The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8369. 836908–836908. 1 indexed citations
15.
Chao, Kuanglin, Moon S. Kim, & Diane E. Chan. (2011). Control interface and tracking control system for automated poultry inspection. Computer Standards & Interfaces. 36(2). 271–277. 15 indexed citations
16.
Chao, Kuanglin, et al.. (2008). High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken. Applied Engineering in Agriculture. 24(4). 475–485. 38 indexed citations
17.
Kim, Moon S., Yud-Ren Chen, Byoung–Kwan Cho, et al.. (2007). Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples. 1(3). 151–159. 49 indexed citations
18.
Yang, C. C., et al.. (2006). Development of Fuzzy Logic Based Differentiation Algorithm and Fast Line-scan Imaging System for Chicken Inspection. Biosystems Engineering. 95(4). 483–496. 12 indexed citations
19.
Chan, Diane E., et al.. (2003). Detection of septicemia in chicken livers by spectroscopy,. Poultry Science. 82(2). 199–206. 15 indexed citations
20.
Hsieh, Chi‐Wen, et al.. (2002). SEPARATING SEPTICEMIC AND NORMAL CHICKEN LIVERS BY VISIBLE/NEARINFRARED SPECTROSCOPY AND BACKPROPAGATION NEURAL NETWORKS. Transactions of the ASAE. 45(2). 11 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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