Rupesh Kumar Dewang

418 total citations
31 papers, 240 citations indexed

About

Rupesh Kumar Dewang is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rupesh Kumar Dewang has authored 31 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 17 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Rupesh Kumar Dewang's work include Spam and Phishing Detection (11 papers), Sentiment Analysis and Opinion Mining (8 papers) and IoT and Edge/Fog Computing (6 papers). Rupesh Kumar Dewang is often cited by papers focused on Spam and Phishing Detection (11 papers), Sentiment Analysis and Opinion Mining (8 papers) and IoT and Edge/Fog Computing (6 papers). Rupesh Kumar Dewang collaborates with scholars based in India. Rupesh Kumar Dewang's co-authors include Anil Kumar Singh, Swati Jain, Dinesh Singh, Pragya Dwivedi, P. Karuppanan, Alok Kumar, Ashish Kumar Maurya, Anil Kumar Singh, Atul Kumar and Vibhav Prakash Singh and has published in prestigious journals such as Multimedia Tools and Applications, Optik and Computers & Electrical Engineering.

In The Last Decade

Rupesh Kumar Dewang

26 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupesh Kumar Dewang India 8 134 126 60 47 27 31 240
Kashish Ara Shakil Saudi Arabia 7 69 0.5× 78 0.6× 38 0.6× 23 0.5× 27 1.0× 18 212
Fazle Rabbi Norway 9 100 0.7× 72 0.6× 26 0.4× 31 0.7× 16 0.6× 41 238
Saurabh Raj Sangwan India 11 230 1.7× 94 0.7× 31 0.5× 72 1.5× 33 1.2× 19 344
Ming Dong China 9 155 1.2× 74 0.6× 24 0.4× 73 1.6× 11 0.4× 18 268
Anas Alsobeh Jordan 9 119 0.9× 94 0.7× 47 0.8× 12 0.3× 12 0.4× 40 241
Shahpar Yakhchi Australia 8 72 0.5× 115 0.9× 73 1.2× 31 0.7× 15 0.6× 10 193
Miltiadis Kandias Greece 8 61 0.5× 108 0.9× 95 1.6× 41 0.9× 11 0.4× 11 199
Lay-Ki Soon Malaysia 8 149 1.1× 54 0.4× 32 0.5× 20 0.4× 28 1.0× 43 208
Md Tahmid Rahman Laskar Canada 11 258 1.9× 41 0.3× 38 0.6× 9 0.2× 40 1.5× 24 352
Sourav Kumar Dandapat India 11 168 1.3× 45 0.4× 51 0.8× 66 1.4× 6 0.2× 39 288

Countries citing papers authored by Rupesh Kumar Dewang

Since Specialization
Citations

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

Fields of papers citing papers by Rupesh Kumar Dewang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupesh Kumar Dewang

This figure shows the co-authorship network connecting the top 25 collaborators of Rupesh Kumar Dewang. A scholar is included among the top collaborators of Rupesh Kumar Dewang 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 Rupesh Kumar Dewang. Rupesh Kumar Dewang 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.
Dewang, Rupesh Kumar, et al.. (2025). ConvRoBERTa: Detecting Fake Reviews by Fusing Sequential and Weighted Nonsequential Features. IEEE Transactions on Artificial Intelligence. 7(3). 1301–1314.
2.
Kumar, Atul & Rupesh Kumar Dewang. (2025). Comprehensive insights into healthcare IoT: the role of machine learning and deep learning approaches. Multimedia Tools and Applications. 84(34). 42215–42256.
3.
Dwivedi, Pragya, et al.. (2024). Handling imbalance dataset issue in insider threat detection using machine learning methods. Computers & Electrical Engineering. 120. 109726–109726. 2 indexed citations
4.
Dewang, Rupesh Kumar, et al.. (2024). SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection. Multimedia Tools and Applications. 83(26). 67643–67671. 1 indexed citations
5.
6.
Dwivedi, Pragya, et al.. (2024). Machine learning approaches to detect, prevent and mitigate malicious insider threats: State-of-the-art review. Multimedia Tools and Applications. 84(24). 28909–28949. 3 indexed citations
7.
Dewang, Rupesh Kumar, et al.. (2023). CIPF: Identifying fake profiles on social media using a CNN-based communal influence propagation framework. Multimedia Tools and Applications. 83(10). 29419–29454. 3 indexed citations
8.
9.
Dewang, Rupesh Kumar, et al.. (2023). NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media. The Journal of Supercomputing. 80(2). 1818–1851.
10.
11.
Dewang, Rupesh Kumar, et al.. (2022). A comprehensive survey of various methods in opinion spam detection. Multimedia Tools and Applications. 82(9). 13199–13239. 16 indexed citations
12.
Dewang, Rupesh Kumar, et al.. (2022). SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting. The Journal of Supercomputing. 79(5). 5516–5551. 36 indexed citations
13.
Dewang, Rupesh Kumar, et al.. (2022). Facial recognition using grey wolf optimization. Materials Today Proceedings. 58. 273–285. 4 indexed citations
14.
Singh, Dinesh, et al.. (2022). A review on Internet of Multimedia Things (IoMT) routing protocols and quality of service. Elsevier eBooks. 1–29. 6 indexed citations
15.
Dewang, Rupesh Kumar, et al.. (2021). A Machine Learning-Based Privacy-Preserving Model for COVID-19 Patient using Differential Privacy. 4. 90–95. 2 indexed citations
16.
Karuppanan, P., et al.. (2020). Design of a SIW on-chip antenna using 0.18-μm CMOS process technology at 0.4 THz. Optik. 223. 165509–165509. 7 indexed citations
17.
18.
Dewang, Rupesh Kumar & Anil Kumar Singh. (2017). State-of-art approaches for review spammer detection: a survey. Journal of Intelligent Information Systems. 50(2). 231–264. 42 indexed citations
19.
Dewang, Rupesh Kumar & Anil Kumar Singh. (2016). Spam Review Detection through Semantic Knowledge Based Algorithm for Negative Reviews. International Journal of Engineering and Technology. 8(6). 2946–2955. 1 indexed citations
20.
Kumar, Alok, et al.. (2016). A Single-Hop Based Fast Certificate Revocation Protocol in VANET. 23–28. 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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