Ajoy Kumar Ray

4.4k total citations · 1 hit paper
127 papers, 3.3k citations indexed

About

Ajoy Kumar Ray is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ajoy Kumar Ray has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 26 papers in Mechanical Engineering. Recurrent topics in Ajoy Kumar Ray's work include AI in cancer detection (22 papers), Oral Health Pathology and Treatment (19 papers) and Aluminum Alloys Composites Properties (14 papers). Ajoy Kumar Ray is often cited by papers focused on AI in cancer detection (22 papers), Oral Health Pathology and Treatment (19 papers) and Aluminum Alloys Composites Properties (14 papers). Ajoy Kumar Ray collaborates with scholars based in India, United States and Germany. Ajoy Kumar Ray's co-authors include Chandan Chakraborty, Tinku Acharya, Somenath Chatterjee, Amit K. Chakraborty, Amitava Bandopadhyay, Sneha Samal, M. Muthu Rama Krishnan, Jyotirmoy Chatterjee, Ranjan Rashmi Paul and Abhijit Kar and has published in prestigious journals such as Journal of Cleaner Production, Carbon and Journal of the American Ceramic Society.

In The Last Decade

Ajoy Kumar Ray

123 papers receiving 3.2k citations

Hit Papers

Graphene–metal oxide nanohybrids for toxic gas sensor: A ... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajoy Kumar Ray India 30 773 753 751 658 557 127 3.3k
Shaofeng Zhang China 31 503 0.7× 242 0.3× 50 0.1× 1.0k 1.6× 110 0.2× 254 4.2k
Yi Wang China 32 567 0.7× 327 0.4× 217 0.3× 220 0.3× 153 0.3× 339 3.9k
Yutao Liu China 35 873 1.1× 835 1.1× 1.2k 1.6× 787 1.2× 436 0.8× 166 3.9k
Yuqing Gao China 34 758 1.0× 408 0.5× 303 0.4× 325 0.5× 1.2k 2.1× 227 4.5k
Takayuki Ikeda Japan 24 297 0.4× 133 0.2× 111 0.1× 384 0.6× 963 1.7× 99 4.1k
Zheng Zheng China 39 3.2k 4.1× 127 0.2× 539 0.7× 648 1.0× 222 0.4× 394 5.8k
Peng Ye China 31 1.1k 1.4× 236 0.3× 1.3k 1.7× 423 0.6× 165 0.3× 327 3.9k
Pradeep Kumar Mallick India 27 251 0.3× 1.2k 1.6× 472 0.6× 440 0.7× 523 0.9× 127 4.2k
Hongyu Chen China 33 732 0.9× 1.2k 1.5× 218 0.3× 405 0.6× 125 0.2× 210 3.1k
Jinze Li China 43 1.5k 2.0× 312 0.4× 1.7k 2.3× 2.6k 3.9× 291 0.5× 205 7.9k

Countries citing papers authored by Ajoy Kumar Ray

Since Specialization
Citations

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

Fields of papers citing papers by Ajoy Kumar Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajoy Kumar Ray. 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 Ajoy Kumar Ray. The network helps show where Ajoy Kumar Ray may publish in the future.

Co-authorship network of co-authors of Ajoy Kumar Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Ajoy Kumar Ray. A scholar is included among the top collaborators of Ajoy Kumar Ray 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 Ajoy Kumar Ray. Ajoy Kumar Ray 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.
Chaira, Tamalika, et al.. (2023). Discovering effect of intuitionistic fuzzy transformation in multi-layer perceptron for heart disease prediction: a study. Computer Methods in Biomechanics & Biomedical Engineering. 28(2). 197–211. 1 indexed citations
2.
Maity, Santi P., et al.. (2021). Deep learning on compressed sensing measurements in pneumonia detection. International Journal of Imaging Systems and Technology. 32(1). 41–54. 12 indexed citations
3.
Mukherjee, Rohan, et al.. (2018). Fast adaptive motion estimation algorithm and its efficient VLSI system for high definition videos. Expert Systems with Applications. 101. 159–175. 10 indexed citations
4.
Bag, Swarnendu, Debabrata Dutta, Amrita Chaudhary, et al.. (2017). Identification of α-enolase as a prognostic and diagnostic precancer biomarker in oral submucous fibrosis. Journal of Clinical Pathology. 71(3). 228–238. 10 indexed citations
5.
Mahadevappa, Manjunatha, et al.. (2016). Wavelet transform based multiple features extraction for detection of epileptic/ non-epileptic multichannel EEG. International Conference on Computing for Sustainable Global Development. 1648–1653. 1 indexed citations
6.
Mahadevappa, Manjunatha, et al.. (2016). Power line and ocular artifact denoising from EEG using notch filter and wavelet transform. 1654–1659. 12 indexed citations
7.
Samal, Sneha, Ajoy Kumar Ray, & Amitava Bandopadhyay. (2015). Characterization and microstructure observation of sintered red mud–fly ash mixtures at various elevated temperature. Journal of Cleaner Production. 101. 368–376. 41 indexed citations
8.
Maity, Priti Prasanna, Subhamoy Chatterjee, Raunak Kumar Das, et al.. (2013). Finding an optimum immuno-histochemical feature set to distinguish benign phyllodes from fibroadenoma. Micron. 48. 34–41. 5 indexed citations
9.
Das, Raunak Kumar, Mousumi Pal, Ananya Barui, et al.. (2011). ApoTome to visualize E‐cadherin and p63 expression in oral pre‐cancer. Biotechnology Journal. 7(5). 602–607. 8 indexed citations
10.
Krishnan, M. Muthu Rama, Vikram Venkatraghavan, U. Rajendra Acharya, et al.. (2011). Automated oral cancer identification using histopathological images: A hybrid feature extraction paradigm. Micron. 43(2-3). 352–364. 92 indexed citations
11.
Chatterjee, Subarna, Ajoy Kumar Ray, Rezaul Karim, & Arindam Biswas. (2011). Micro-calcification detection to characterize malignant breast lesion. 1. 1–4. 1 indexed citations
12.
Ghosh, Madhumala, Dev Kumar Das, Chandan Chakraborty, & Ajoy Kumar Ray. (2010). Automated leukocyte recognition using fuzzy divergence. Micron. 41(7). 840–846. 78 indexed citations
13.
Mandal, Subhamoy, et al.. (2010). Segmentation of blood smear images using normalized cuts for detection of malarial parasites. 1–4. 34 indexed citations
14.
Das, Raunak Kumar, Vikram Venkatraghavan, Debdoot Sheet, et al.. (2010). Evaluation of p63 expression in Oral Sub-mucous Fibrosis. 24. 166–171. 4 indexed citations
15.
Venkateswarlu, K., V. Rajinikanth, & Ajoy Kumar Ray. (2008). High Strength Aluminium Alloys with Emphasis on Scandium Addition. 58(4). 493–500. 1 indexed citations
16.
Ray, Ashok K, Nilima Roy, Abhijit Kar, et al.. (2008). Mechanical property and characterization of a NiCoCrAlY type metallic bond coat used in turbine blade. Materials Science and Engineering A. 505(1-2). 96–104. 31 indexed citations
17.
Ray, Ashok K, Deepak Kumar Das, Nilima Roy, et al.. (2006). Characterization of bond coat in a thermal barrier coated superalloy used in combustor liners of aero engines. Materials Characterization. 57(3). 199–209. 23 indexed citations
18.
Acharya, Tinku & Ajoy Kumar Ray. (2005). Image Processing. 314 indexed citations
19.
Ray, Ashok K, et al.. (2004). Correlation between the mechanical properties and the microstructural behaviour of Al2O3–(Ag–Cu–Ti) brazed joints. Materials Science and Engineering A. 383(2). 235–244. 85 indexed citations
20.
Ray, Ajoy Kumar & Kishor M. Bhurchandi. (2001). Intel microprocessors : architecture, programming and interfacing. McGraw-Hill eBooks. 13 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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