Collins Wakholi

733 total citations
28 papers, 536 citations indexed

About

Collins Wakholi is a scholar working on Analytical Chemistry, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Collins Wakholi has authored 28 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Analytical Chemistry, 14 papers in Plant Science and 7 papers in Animal Science and Zoology. Recurrent topics in Collins Wakholi's work include Spectroscopy and Chemometric Analyses (19 papers), Smart Agriculture and AI (7 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Collins Wakholi is often cited by papers focused on Spectroscopy and Chemometric Analyses (19 papers), Smart Agriculture and AI (7 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Collins Wakholi collaborates with scholars based in South Korea, United States and Indonesia. Collins Wakholi's co-authors include Byoung–Kwan Cho, Mohammed Raju Ahmed, Changyeun Mo, Moon S. Kim, Hoonsoo Lee, Wang‐Hee Lee, Mohammad Akbar Faqeerzada, Santosh Lohumi, Moon S. Kim and Geonwoo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Plant Science.

In The Last Decade

Collins Wakholi

27 papers receiving 518 citations

Peers

Collins Wakholi

BIOPH

Mohammad Akbar Faqeerzada South Korea

Irina Torres Spain

Kazuhiro Nakano Japan

Shintaroh Ohashi Japan

Muhammad A. Shahin Canada

Janos Keresztes Belgium

Qinlin Xiao China

Lidia Esteve Agelet United States

Xiulin Bai China

Antonella Del Fiore Italy

Mohammad Akbar Faqeerzada South Korea

Collins Wakholi

314 ×0.9

245 ×0.8

72 ×0.8

BIOPH

75 ×0.9

102 ×1.2

Citations per year, relative to Collins Wakholi Collins Wakholi (= 1×) peers Mohammad Akbar Faqeerzada

Countries citing papers authored by Collins Wakholi

Since Specialization

Citations

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

Fields of papers citing papers by Collins Wakholi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Collins Wakholi

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

All Works

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20 of 20 papers shown

Kluepfel, Daniel A., et al.. (2025). Differential impact of commercial rootstocks on the physiological response of a common walnut scion to drought stress. Physiologia Plantarum. 177(2). e70188–e70188.

Feldman, Max, Nathan D. Miller, Collins Wakholi, et al.. (2024). A scalable, low‐cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations. SHILAP Revista de lepidopterología. 7(1). 3 indexed citations

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

Altendorf, Kayla R., et al.. (2023). HopBox: An image analysis pipeline to characterize hop cone morphology. SHILAP Revista de lepidopterología. 6(1). 1 indexed citations

Amanah, Hanim Zuhrotul, Mohammad Akbar Faqeerzada, Collins Wakholi, et al.. (2022). Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables. Sensors. 22(5). 1775–1775. 17 indexed citations

Wakholi, Collins, et al.. (2022). Estimation of Cold Stress, Plant Age, and Number of Leaves in Watermelon Plants Using Image Analysis. Frontiers in Plant Science. 13. 847225–847225. 17 indexed citations

Ahmed, Mohammed Raju, Collins Wakholi, Santosh Lohumi, et al.. (2022). Near-infrared hyperspectral imaging for online measurement of the viability detection of naturally aged watermelon seeds. Frontiers in Plant Science. 13. 986754–986754. 8 indexed citations

Wakholi, Collins, Juntae Kim, Youngwook Seo, et al.. (2022). Nondestructive estimation of beef carcass yield using digital image analysis. Computers and Electronics in Agriculture. 194. 106769–106769. 4 indexed citations

Wakholi, Collins, et al.. (2022). Deep learning feature extraction for image-based beef carcass yield estimation. Biosystems Engineering. 218. 78–93. 6 indexed citations

10.

Wakholi, Collins, Juntae Kim, Jeong Hwan Bae, et al.. (2021). Economic Analysis of an Image-Based Beef Carcass Yield Estimation System in Korea. Animals. 12(1). 7–7. 1 indexed citations

11.

Amanah, Hanim Zuhrotul, Collins Wakholi, Mohammad Akbar Faqeerzada, et al.. (2021). Near-Infrared Hyperspectral Imaging (NIR-HSI) for Nondestructive Prediction of Anthocyanins Content in Black Rice Seeds. Applied Sciences. 11(11). 4841–4841. 26 indexed citations

12.

Ahmed, Mohammed Raju, Eunsung Park, Geonwoo Kim, et al.. (2020). Classification of Watermelon Seeds Using Morphological Patterns of X-ray Imaging: A Comparison of Conventional Machine Learning and Deep Learning. Sensors. 20(23). 6753–6753. 37 indexed citations

13.

Wakholi, Collins, Eunsoo Park, Jayoung Lee, et al.. (2020). Determination of the viability of retinispora (Hinoki cypress) seeds using shortwave infrared hyperspectral imaging spectroscopy. Journal of Near Infrared Spectroscopy. 28(2). 70–80. 5 indexed citations

14.

Ahmed, Mohammed Raju, et al.. (2020). Classification of pepper seed quality based on internal structure using X-ray CT imaging. Computers and Electronics in Agriculture. 179. 105839–105839. 23 indexed citations

15.

Kim, Do‐Gyun, Byoung–Kwan Cho, Collins Wakholi, et al.. (2019). Discrimination study between carcass yield and meat quality by gender in Korean native cattle (Hanwoo). Asian-Australasian Journal of Animal Sciences. 33(7). 1202–1208. 4 indexed citations

16.

Lee, Dae-Hyun, Seung Hyun Lee, Byoung–Kwan Cho, et al.. (2019). Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network. Asian-Australasian Journal of Animal Sciences. 33(10). 1633–1641. 16 indexed citations

17.

Ahmed, Mohammed Raju, et al.. (2019). Rapid authentication measurement of cinnamon powder using FT-NIR and FT-IR spectroscopic techniques. Quality Assurance and Safety of Crops & Foods. 11(3). 257–267. 27 indexed citations

18.

Lohumi, Santosh, et al.. (2018). Nondestructive Estimation of Lean Meat Yield of South Korean Pig Carcasses Using Machine Vision Technique. Korean Journal for Food Science of Animal Resources. 38(5). 1109–1119. 13 indexed citations

19.

Ahmed, Mohammed Raju, et al.. (2018). X-ray CT image analysis for morphology of muskmelon seed in relation to germination. Biosystems Engineering. 175. 183–193. 45 indexed citations

20.

Wakholi, Collins, Byoung–Kwan Cho, Changyeun Mo, & Moon S. Kim. (2015). Current State of Postharvest Fruit and Vegetable Management in East Africa. Journal of Biosystems Engineering. 40(3). 238–249. 29 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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