Adel Bakhshipour

1.2k total citations · 1 hit paper
34 papers, 875 citations indexed

About

Adel Bakhshipour is a scholar working on Plant Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Adel Bakhshipour has authored 34 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 19 papers in Analytical Chemistry and 14 papers in Biomedical Engineering. Recurrent topics in Adel Bakhshipour's work include Spectroscopy and Chemometric Analyses (19 papers), Advanced Chemical Sensor Technologies (13 papers) and Smart Agriculture and AI (12 papers). Adel Bakhshipour is often cited by papers focused on Spectroscopy and Chemometric Analyses (19 papers), Advanced Chemical Sensor Technologies (13 papers) and Smart Agriculture and AI (12 papers). Adel Bakhshipour collaborates with scholars based in Iran, Greece and Spain. Adel Bakhshipour's co-authors include Abdolabbas Jafari, Alireza Sanaeifar, Miguel de la Guárdia, Dariush Zare, Hemad Zareiforoush, Seyed Mehdi Nassiri, Iraj Bagheri, Ayat Mohammad‐Razdari, David Rousseau and Jorge Poveda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Adel Bakhshipour

33 papers receiving 836 citations

Hit Papers

Evaluation of support vector machine and artificial neura... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evaluation of support vector machine and artificial neural networks in weed detection using shape features
    2018 246 citations Adel Bakhshipour, Abdolabbas Jafari Computers and Electronics in Agriculture profile →

Peers

Adel Bakhshipour
Hanping Mao China
Xi Tian China
Yiying Zhao China
Yuanyuan Shao China
Di Cui China
Bing Lu China
Zongmei Gao China
Dimas Firmanda Al Riza Indonesia
Belén Diezma Iglesias Spain
Jingzhu Wu China
Hanping Mao China
Adel Bakhshipour
Citations per year, relative to Adel Bakhshipour Adel Bakhshipour (= 1×) peers Hanping Mao

Countries citing papers authored by Adel Bakhshipour

Since Specialization
Citations

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

Fields of papers citing papers by Adel Bakhshipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Bakhshipour

This figure shows the co-authorship network connecting the top 25 collaborators of Adel Bakhshipour. A scholar is included among the top collaborators of Adel Bakhshipour 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 Adel Bakhshipour. Adel Bakhshipour 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.
Sabouri, Atefeh, et al.. (2025). Machine learning techniques for non-destructive estimation of plum fruit weight. Scientific Reports. 15(1). 751–751. 3 indexed citations
2.
Sabouri, Atefeh, et al.. (2025). Meta-analysis of quantitative trait loci associated with grain quality traits in rice (Oryza sativa L.). Acta Physiologiae Plantarum. 47(3). 1 indexed citations
3.
Sabouri, Atefeh, et al.. (2025). Combinatorial Approaches to Image Processing and MGIDI for the Efficient Selection of Superior Rice Grain Quality Lines. Agriculture. 15(6). 615–615. 1 indexed citations
4.
Ghasemnezhad, Mahmood, et al.. (2024). Breeding of new kiwifruit (Actinidia chinensis) cultivars with yellow (golden) fleshed and superior characteristics. BMC Plant Biology. 24(1). 1045–1045. 5 indexed citations
5.
Ghasemnezhad, Mahmood, et al.. (2024). Comparison of important quality components of red-flesh kiwifruit (Actinidia chinensis) in different locations. Open Agriculture. 9(1). 4 indexed citations
6.
7.
Bakhshipour, Adel, et al.. (2023). Application of Electronic Nose and Eye Systems for Detection of Adulteration in Olive Oil based on Chemometrics and Optimization Approaches. JUCS - Journal of Universal Computer Science. 29(4). 300–325. 8 indexed citations
8.
Sanaeifar, Alireza, et al.. (2023). Advancing precision agriculture: The potential of deep learning for cereal plant head detection. Computers and Electronics in Agriculture. 209. 107875–107875. 45 indexed citations
9.
Ebrahimi, Rahim, et al.. (2023). Real-time monitoring of agricultural waste conversion to bioethanol in a pneumatic system by optimized electronic nose. Journal of Material Cycles and Waste Management. 26(1). 421–434. 3 indexed citations
10.
11.
Bakhshipour, Adel, et al.. (2023). Non-destructive pre-symptomatic detection of gray mold infection in kiwifruit using hyperspectral data and chemometrics. Plant Methods. 19(1). 53–53. 11 indexed citations
12.
Sabouri, Atefeh, et al.. (2022). Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area. PLoS ONE. 17(7). e0271201–e0271201. 8 indexed citations
13.
Bakhshipour, Adel, et al.. (2021). An overview to current status of waste generation, management and potentials for waste-to-energy (Case study: Rasht City, Iran). SHILAP Revista de lepidopterología. 5 indexed citations
14.
Bakhshipour, Adel, et al.. (2021). Critical analysis of rural waste management weaknesses. SHILAP Revista de lepidopterología. 6(3). 263–276. 1 indexed citations
15.
Bakhshipour, Adel & Hemad Zareiforoush. (2020). Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features. Plant Methods. 16(1). 153–153. 10 indexed citations
16.
Bakhshipour, Adel & Dariush Zare. (2017). A GENERALIZED ARTIFICIAL NEURAL NETWORK MODEL FOR DEEP-BED DRYING OF PADDY. 20(1). 2 indexed citations
17.
Bakhshipour, Adel, et al.. (2017). Evaluation of Data Mining Strategies for Classification of Black Tea Based on Image-Based Features. Food Analytical Methods. 11(4). 1041–1050. 37 indexed citations
18.
Sanaeifar, Alireza, Adel Bakhshipour, & Miguel de la Guárdia. (2015). Prediction of banana quality indices from color features using support vector regression. Talanta. 148. 54–61. 103 indexed citations
19.
Jafari, Abdolabbas, et al.. (2014). Integration of Color Features and Artificial Neural Networks for In-field Recognition of Saffron Flower. Lincoln University Research Archive (Lincoln University). 33(1). 1–14. 2 indexed citations
20.
Bakhshipour, Adel, et al.. (2013). Using of artificial intelligence and image texture to estimate desiccation rate of quince fruit.. Lincoln University Research Archive (Lincoln University). 3(7). 641–646. 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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