Sanjay Kumar Singh

7.2k total citations
246 papers, 4.4k citations indexed

About

Sanjay Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sanjay Kumar Singh has authored 246 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 41 papers in Signal Processing. Recurrent topics in Sanjay Kumar Singh's work include Statistical Distribution Estimation and Applications (32 papers), Biometric Identification and Security (32 papers) and Probabilistic and Robust Engineering Design (23 papers). Sanjay Kumar Singh is often cited by papers focused on Statistical Distribution Estimation and Applications (32 papers), Biometric Identification and Security (32 papers) and Probabilistic and Robust Engineering Design (23 papers). Sanjay Kumar Singh collaborates with scholars based in India, United States and South Africa. Sanjay Kumar Singh's co-authors include Santosh Kumar, Sandeep S. Udmale, Durgesh Singh, Amit Kumar Singh, Abhinav Kumar, Shrikant Tiwari, Sonal Saxena, Umesh Singh, Sameer Shrivastava and Rishav Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Sanjay Kumar Singh

226 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Kumar Singh India 37 1.4k 759 683 453 453 246 4.4k
Xin Jin China 39 917 0.7× 504 0.7× 560 0.8× 325 0.7× 104 0.2× 313 4.8k
Yi‐Ping Phoebe Chen Australia 45 1.0k 0.7× 1.5k 1.9× 2.1k 3.0× 322 0.7× 509 1.1× 389 6.9k
Ferat Sahin United States 20 879 0.6× 1.9k 2.5× 443 0.6× 642 1.4× 299 0.7× 123 4.9k
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Egypt 42 699 0.5× 1.6k 2.1× 294 0.4× 248 0.5× 269 0.6× 160 4.9k
Yiqiang Chen China 43 3.0k 2.2× 3.6k 4.8× 911 1.3× 584 1.3× 780 1.7× 322 9.8k
Lixiang Li China 49 720 0.5× 1.3k 1.6× 1.9k 2.8× 864 1.9× 206 0.5× 301 7.5k
Erchin Serpedin United States 41 299 0.2× 867 1.1× 673 1.0× 1.3k 2.8× 822 1.8× 347 7.0k
Ning Ye China 33 866 0.6× 718 0.9× 1.2k 1.8× 245 0.5× 173 0.4× 239 3.7k
Shengwu Xiong China 32 776 0.6× 1.4k 1.9× 197 0.3× 279 0.6× 197 0.4× 306 4.4k
Luciano Sánchez Spain 30 739 0.5× 4.0k 5.3× 197 0.3× 414 0.9× 211 0.5× 160 5.8k

Countries citing papers authored by Sanjay Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Singh. A scholar is included among the top collaborators of Sanjay Kumar Singh 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 Sanjay Kumar Singh. Sanjay Kumar Singh 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.
Jha, Abhishek, et al.. (2025). A review on integrated design and application of stimuli-responsive ZIF-8 metal-organic frameworks for breast cancer theranostics. Next Materials. 8. 100611–100611. 3 indexed citations
2.
Sharma, Ritesh, Sameer Shrivastava, Sanjay Kumar Singh, et al.. (2025). XAI-INVENT: An explainable artificial intelligence based framework for rapid discovery of novel antibiotics. Computers & Electrical Engineering. 123. 110098–110098. 1 indexed citations
3.
Singh, Sanjay Kumar, et al.. (2025). CattleDiT: A Distillation-Driven Transformer for Cattle Identification. IEEE Transactions on Biometrics Behavior and Identity Science. 7(4). 824–836.
4.
Singh, Rajeev Kumar, et al.. (2025). Interpretable Hybrid CDTCN-GRU Model for Supercapacitor Life Prediction. IEEE Sensors Journal. 25(14). 26970–26978.
5.
6.
Sharma, Anshul, et al.. (2024). A novel intelligent modeling and prediction of heat energy consumption in smart buildings. Energy and Buildings. 310. 114105–114105. 4 indexed citations
7.
Singh, Ramesh, et al.. (2024). Unveiling the green guardians: Mapping and identification of Azadirachta indica trees with semantic segmentation deep learning neural network technique. The Egyptian Journal of Remote Sensing and Space Science. 27(3). 491–500. 2 indexed citations
8.
Singh, Sanjay Kumar & Dheeraj Kumar. (2024). Optimizing coal mine planning and design for sustainable development in the context of mass exploitation of coal deposits. Heliyon. 10(7). e28524–e28524. 3 indexed citations
9.
Singh, Sanjay Kumar, et al.. (2024). Road Traffic Crashes in Up’s Metropolitan Cities: A Public Health Scourge. SHILAP Revista de lepidopterología. 13(1). 1–12. 1 indexed citations
10.
Gautam, Sandeep Kumar, et al.. (2024). Modern Machine Learning Solution for Electricity Consumption Management in Smart Buildings. IEEE Engineering Management Review. 53(1). 54–62. 1 indexed citations
11.
Singh, Sanjay Kumar, et al.. (2023). Comparative study of SAW and ASAW process on ASTM A709 Grade 36 steel welds. Materials Today Proceedings. 3 indexed citations
12.
Sharma, Ritesh, et al.. (2023). Using Explainable AI and Genetic Algorithms to Drive the Discovery of Novel Antiviral Molecules. 348–352. 1 indexed citations
13.
Singh, Sanjay Kumar, et al.. (2023). Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes. SHILAP Revista de lepidopterología. 24(3). 40–46. 1 indexed citations
14.
Tripathi, Ayush, Umesh Singh, & Sanjay Kumar Singh. (2022). Does the Type of Records Affect the Estimates of the Parameters?. Human Biology. 19(1). 1 indexed citations
15.
16.
Kumar, Shishir, et al.. (2021). Energy and Collision Aware WSN Routing Protocol for Sustainable and Intelligent IoT Applications. IEEE Sensors Journal. 21(22). 25282–25292. 38 indexed citations
17.
Singh, Sanjay Kumar, et al.. (2021). Inferences based on a balanced joint progressive type-II censoring scheme for Lindley distributed lifetimes. Communications in Statistics - Simulation and Computation. 52(9). 4119–4133. 1 indexed citations
18.
Lagashetti, Ajay C., Laurent Dufossé, Sanjay Kumar Singh, & Paras Nath Singh. (2019). Fungal Pigments and Their Prospects in Different Industries. Microorganisms. 7(12). 604–604. 125 indexed citations
19.
Singh, Sanjay Kumar, Umesh Singh, & Manoj Kumar. (2014). Bayesian inference for exponentiated Pareto model with application to bladder cancer remission time. Statistics in Transition New Series. 15(3). 403–426. 4 indexed citations
20.
Yadav, Anuradha, Savita Yadav, Sanjay Kumar Singh, & N. N. Tripathi. (2012). Analysis And Parameter Extraction of Organic Transistor At PTAA With Different Organic Materials. International journal of scientific and technology research. 1(10). 108–113.

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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