V E Sathishkumar

2.9k total citations · 2 hit papers
110 papers, 1.5k citations indexed

About

V E Sathishkumar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, V E Sathishkumar has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 22 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in V E Sathishkumar's work include Nanofluid Flow and Heat Transfer (8 papers), Heat Transfer Mechanisms (7 papers) and Artificial Intelligence in Healthcare (7 papers). V E Sathishkumar is often cited by papers focused on Nanofluid Flow and Heat Transfer (8 papers), Heat Transfer Mechanisms (7 papers) and Artificial Intelligence in Healthcare (7 papers). V E Sathishkumar collaborates with scholars based in South Korea, India and Malaysia. V E Sathishkumar's co-authors include Yongyun Cho, Jaehyuk Cho, Malliga Subramanian, L V Narasimha Prasad, Jang‐Woo Park, Haftom Baraki Abraha, C. S. Pavan Kumar, N. Krishnamoorthy, Changsun Shin and R. Dinesh Jackson Samuel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

V E Sathishkumar

89 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Rice leaf diseases prediction using deep neural networks with transfer learning

2021 200 citations N. Krishnamoorthy, L V Narasimha Prasad et al. Environmental Research profile →
Forest fire and smoke detection using deep learning-based learning without forgetting

2023 133 citations V E Sathishkumar, Jaehyuk Cho et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V E Sathishkumar South Korea	22	288	256	191	173	144	110	1.5k
Fatma M. Talaat Egypt	23	386 1.3×	147 0.6×	433 2.3×	184 1.1×	130 0.9×	62	1.8k
Christine Dewi Indonesia	19	303 1.1×	194 0.8×	625 3.3×	105 0.6×	37 0.3×	97	1.8k
Suliman Mohamed Fati Saudi Arabia	22	571 2.0×	151 0.6×	199 1.0×	205 1.2×	59 0.4×	74	1.6k
Michał Jasiński Poland	30	386 1.3×	400 1.6×	113 0.6×	137 0.8×	102 0.7×	127	2.7k
Umesh Kumar Lilhore India	20	529 1.8×	95 0.4×	148 0.8×	325 1.9×	27 0.2×	133	1.8k
G. R. Sinha India	19	393 1.4×	90 0.4×	512 2.7×	112 0.6×	34 0.2×	97	1.8k
Amgad Muneer Malaysia	21	395 1.4×	65 0.3×	141 0.7×	233 1.3×	70 0.5×	66	1.4k
Abdullah Mohamed Egypt	25	307 1.1×	131 0.5×	152 0.8×	80 0.5×	24 0.2×	172	2.3k
S. Sumathi India	12	461 1.6×	49 0.2×	219 1.1×	218 1.3×	35 0.2×	69	1.8k

Countries citing papers authored by V E Sathishkumar

Since Specialization

Citations

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

Fields of papers citing papers by V E Sathishkumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V E Sathishkumar

This figure shows the co-authorship network connecting the top 25 collaborators of V E Sathishkumar. A scholar is included among the top collaborators of V E Sathishkumar 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 V E Sathishkumar. V E Sathishkumar 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

Sharma, Jyoti, et al.. (2025). Hybrid nanofluid flow along a conical gap geometry considering nanoparticle shapes and Riga disk. Results in Engineering. 26. 104555–104555. 6 indexed citations

Kande, Giri Babu, et al.. (2025). Multi scale multi attention network for blood vessel segmentation in fundus images. Scientific Reports. 15(1). 3438–3438. 4 indexed citations

Subramanian, Malliga, et al.. (2025). Deep learning-driven methods for network-based intrusion detection systems: A systematic review. ICT Express. 11(1). 181–215. 9 indexed citations

Anandan, P., et al.. (2025). IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations. Alexandria Engineering Journal. 118. 21–35. 1 indexed citations

Cho, Jaehyuk, et al.. (2024). Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. Scientific Reports. 14(1). 31641–31641. 2 indexed citations

Sathishkumar, V E, et al.. (2024). Attention Mechanism-Based CNN-LSTM for Abusive Comments Detection and Classification in Social Media Text. International Journal of Advanced Computer Science and Applications. 15(10).

Sathishkumar, V E, et al.. (2024). Optimized Fabric Imperfection Detection via Image Analysis and Isolation Forest Technique. 9. 1–6. 1 indexed citations

Cho, Jaehyuk, et al.. (2024). Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer. Scientific Reports. 14(1). 19828–19828. 11 indexed citations

Sathishkumar, V E, et al.. (2024). Animal detection and classification from camera trap images using residual neural networks. Applied and Computational Engineering. 30(1). 38–45.

10.

Cho, Jaehyuk, et al.. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science. 10. e2407–e2407. 2 indexed citations

11.

Sathishkumar, V E, et al.. (2023). A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming. Mathematical Problems in Engineering. 2023(1). 4 indexed citations

12.

Jakeer, Shaik, V E Sathishkumar, Seethi Reddy Reddisekhar Reddy, & H. Thameem Basha. (2023). Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation. Symmetry. 15(8). 1503–1503. 9 indexed citations

13.

Singh, Prabhishek, et al.. (2023). Wireless Sensor Network-based Monitoring System for Health Structure of Rail-tracks: An Efficient Design for Communication. Applied and Computational Engineering. 8(1). 42–47. 1 indexed citations

14.

Sathishkumar, V E, et al.. (2023). Automatic dog breed classification using deep learning. Applied and Computational Engineering. 6(1). 962–968.

15.

Singh, Prabhishek, et al.. (2023). Wireless sensor network for structural health monitoring using RFID based data mules. Applied and Computational Engineering. 20(1). 1–5. 1 indexed citations

16.

Sathishkumar, V E, et al.. (2022). Retracted March 6, 2026: Research of College English Online Course Based on Cloud Computing and Exploitation for Multimedia Asian Information Processing. ACM Transactions on Asian and Low-Resource Language Information Processing. 1 indexed citations

17.

Subramanian, Malliga, et al.. (2021). Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization. Big Data. 10(3). 215–229. 40 indexed citations

18.

Sivaramakrishnan, Muthusaravanan, K. Balasubramani, R. Sankar Ganesh, et al.. (2021). Adsorptive removal of noxious atrazine using graphene oxide nanosheets: Insights to process optimization, equilibrium, kinetics, and density functional theory calculations. Environmental Research. 200. 111428–111428. 52 indexed citations

19.

Sathishkumar, V E, et al.. (2020). 데이터 마이닝 기반 스마트 공장 에너지 소모 예측 모델. KIPS Transactions on Software and Data Engineering. 9(5). 153–160.

20.

Sathishkumar, V E, et al.. (2019). Predicting Daily Nutrient Water Consumption by Strawberry Plants in a Greenhouse Environment. 581–584. 1 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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