Sujan Kumar Saha

1.2k total citations · 1 hit paper
60 papers, 749 citations indexed

About

Sujan Kumar Saha is a scholar working on Artificial Intelligence, Hardware and Architecture and Information Systems. According to data from OpenAlex, Sujan Kumar Saha has authored 60 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 14 papers in Hardware and Architecture and 8 papers in Information Systems. Recurrent topics in Sujan Kumar Saha's work include Topic Modeling (28 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (11 papers). Sujan Kumar Saha is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (23 papers) and Text and Document Classification Technologies (11 papers). Sujan Kumar Saha collaborates with scholars based in India, United States and Bangladesh. Sujan Kumar Saha's co-authors include Pabitra Mitra, Sudeshna Sarkar, Mukta Majumder, Sandipan Dandapat, Christophe Bobda, Farimah Farahmandi, Mark Tehranipoor, Shashi Narayan, West Bengal and Md. Abdul Kader and has published in prestigious journals such as IEEE Access, Solar Energy and Knowledge-Based Systems.

In The Last Decade

Sujan Kumar Saha

55 papers receiving 679 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.

LLM for SoC Security: A Paradigm Shift

2024 45 citations Sujan Kumar Saha, Jingbo Zhou et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sujan Kumar Saha India	16	570	142	75	68	54	60	749
Swaroop Mishra United States	14	613 1.1×	94 0.7×	9 0.1×	11 0.2×	173 3.2×	29	787
Bassam Al-Shargabi Jordan	11	144 0.3×	136 1.0×	41 0.5×	6 0.1×	54 1.0×	37	333
Huiting Hong China	7	195 0.3×	105 0.7×	21 0.3×	5 0.1×	57 1.1×	10	375
Andrew Patterson Australia	5	94 0.2×	145 1.0×	15 0.2×	32 0.5×	32 0.6×	10	490
Michael J. Oudshoorn United States	11	99 0.2×	219 1.5×	13 0.2×	25 0.4×	14 0.3×	51	409
Alisa Liu United States	7	479 0.8×	70 0.5×	11 0.1×	8 0.1×	119 2.2×	10	607
Stella Biderman United States	7	565 1.0×	119 0.8×	16 0.2×	16 0.2×	98 1.8×	15	720
Wilkerson L. Andrade Brazil	12	64 0.1×	142 1.0×	21 0.3×	14 0.2×	11 0.2×	64	427
Jeremy S. Bradbury Canada	13	179 0.3×	240 1.7×	5 0.1×	40 0.6×	24 0.4×	39	520
Kevin C. Webb United States	11	70 0.1×	191 1.3×	7 0.1×	35 0.5×	32 0.6×	23	452

Countries citing papers authored by Sujan Kumar Saha

Since Specialization

Citations

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

Fields of papers citing papers by Sujan Kumar Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujan Kumar Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Sujan Kumar Saha. A scholar is included among the top collaborators of Sujan Kumar Saha 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 Sujan Kumar Saha. Sujan Kumar Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Jingbo, et al.. (2024). SAP: Silicon Authentication Platform for System-on-Chip Supply Chain Vulnerabilities. 109–119.

Saha, Sujan Kumar, et al.. (2024). LLM for SoC Security: A Paradigm Shift. IEEE Access. 12. 155498–155521. 45 indexed citations breakdown →

Saha, Sujan Kumar, et al.. (2024). An automatic speech recognition system in Odia language using attention mechanism and data augmentation. International Journal of Speech Technology. 27(3). 717–728. 3 indexed citations

Saha, Sujan Kumar, et al.. (2021). Use of smartphones among first year MBBS students during COVID19 pandemic in Dhaka, Bangladesh. Asian Journal of Medical and Biological Research. 7(3). 284–291.

Saha, Sujan Kumar, et al.. (2021). A Security Architecture for Domain Isolation in Multi-Tenant Cloud FPGAs. 290–295. 2 indexed citations

Saha, Sujan Kumar, et al.. (2020). Adopting computer-assisted assessment in evaluation of handwritten answer books: An experimental study. Education and Information Technologies. 25(6). 4845–4860. 3 indexed citations

Saha, Sujan Kumar, Amit Prakash, & Mukta Majumder. (2019). “Similar query was answered earlier”: processing of patient authored text for retrieving relevant contents from health discussion forum. Health Information Science and Systems. 7(1). 4–4. 4 indexed citations

Bobda, Christophe, et al.. (2019). MeXT: A Flow for Multiprocessor Exploration. 1–7. 1 indexed citations

Saha, Sujan Kumar & Mukta Majumder. (2018). Development of a hindi named entity recognition system without using manually annotated training corpus.. The International Arab Journal of Information Technology. 15. 1088–1098. 2 indexed citations

10.

Saha, Sujan Kumar, et al.. (2017). A Novel Word Clustering and Cluster Merging Technique for Named Entity Recognition. Journal of Intelligent Systems. 28(1). 15–30. 1 indexed citations

11.

Majumder, Mukta & Sujan Kumar Saha. (2015). A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection. 64–72. 35 indexed citations

12.

Satyam, Satyam, et al.. (2014). A Statistical Analysis Approach to Author Identification Using Latent Semantic Analysis.. CLEF (Working Notes). 1143–1147. 5 indexed citations

13.

Prakash, Amit & Sujan Kumar Saha. (2014). Experiments on Document Chunking and Query Formation for Plagiarism Source Retrieval.. CLEF (Working Notes). 990–996. 3 indexed citations

14.

Saha, Sujan Kumar, et al.. (2013). A Kernel‐Based Approach for Biomedical Named Entity Recognition. The Scientific World JOURNAL. 2013(1). 950796–950796. 12 indexed citations

15.

Saha, Sujan Kumar, Sudeshna Sarkar, & Pabitra Mitra. (2009). Feature selection techniques for maximum entropy based biomedical named entity recognition. Journal of Biomedical Informatics. 42(5). 905–911. 83 indexed citations

16.

Saha, Sujan Kumar, Sudeshna Sarkar, & Pabitra Mitra. (2008). A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition. International Joint Conference on Natural Language Processing. 343–349. 44 indexed citations

17.

Saha, Sujan Kumar, Sudeshna Sarkar, & Pabitra Mitra. (2008). Gazetteer Preparation for Named Entity Recognition in Indian Languages. International Joint Conference on Natural Language Processing. 9–16. 15 indexed citations

18.

Saha, Sujan Kumar, et al.. (2008). A Hybrid Named Entity Recognition System for South and South East Asian Languages. International Joint Conference on Natural Language Processing. 17–24. 25 indexed citations

19.

Saha, Sujan Kumar, Pabitra Mitra, & Sudeshna Sarkar. (2008). Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER. Meeting of the Association for Computational Linguistics. 488–495. 13 indexed citations

20.

Saha, Sujan Kumar, Partha Ghosh, Sudeshna Sarkar, & Pabitra Mitra. (2008). Named Entity Recognition in Hindi using Maximum Entropy and Transliteration. Redalyc (Universidad Autónoma del Estado de México). 38. 33–41. 20 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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