Sudha Subramani

494 total citations
14 papers, 235 citations indexed

About

Sudha Subramani is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Sudha Subramani has authored 14 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Sudha Subramani's work include Cybercrime and Law Enforcement Studies (4 papers), ECG Monitoring and Analysis (2 papers) and Online Learning and Analytics (2 papers). Sudha Subramani is often cited by papers focused on Cybercrime and Law Enforcement Studies (4 papers), ECG Monitoring and Analysis (2 papers) and Online Learning and Analytics (2 papers). Sudha Subramani collaborates with scholars based in Australia, China and Switzerland. Sudha Subramani's co-authors include Hua Wang, Jiahua Du, Yanchun Zhang, Gang Li, Khandakar Ahmed, Le Sun, Dandan Peng, Xuyang Wang, Yuan Miao and Jia Rong and has published in prestigious journals such as IEEE Access, Applied Sciences and BMC Medical Informatics and Decision Making.

In The Last Decade

Sudha Subramani

14 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sudha Subramani Australia	8	125	68	56	31	26	14	235
Hui Yin China	8	139 1.1×	45 0.7×	52 0.9×	67 2.2×	16 0.6×	19	257
Syed Tanzeel Rabani India	9	230 1.8×	69 1.0×	76 1.4×	14 0.5×	7 0.3×	16	416
Qamar Rayees Khan India	9	218 1.7×	67 1.0×	68 1.2×	14 0.5×	6 0.2×	17	411
Akib Mohi Ud Din Khanday India	10	234 1.9×	68 1.0×	76 1.4×	14 0.5×	7 0.3×	23	441
Juan Antonio Lossio-Ventura United States	11	218 1.7×	70 1.0×	40 0.7×	6 0.2×	17 0.7×	37	391
Ahmed Abbasi Pakistan	7	129 1.0×	47 0.7×	41 0.7×	33 1.1×	5 0.2×	9	215
Filipo Sharevski United States	7	77 0.6×	44 0.6×	122 2.2×	17 0.5×	25 1.0×	35	198
Ali Al-Laith Pakistan	5	129 1.0×	125 1.8×	83 1.5×	14 0.5×	6 0.2×	6	270
Rakhi Batra Pakistan	7	236 1.9×	71 1.0×	124 2.2×	9 0.3×	25 1.0×	13	344
Tanmay Basu India	8	154 1.2×	64 0.9×	27 0.5×	6 0.2×	8 0.3×	16	273

Countries citing papers authored by Sudha Subramani

Since Specialization

Citations

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

Fields of papers citing papers by Sudha Subramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudha Subramani. 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 Sudha Subramani. The network helps show where Sudha Subramani may publish in the future.

Co-authorship network of co-authors of Sudha Subramani

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

All Works

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14 of 14 papers shown

Chugh, Ritesh, Darren Turnbull, Fariza Sabrina, et al.. (2025). Generative AI as a learning assistant in ICT education: student perspectives and educational implications. Education and Information Technologies. 30(16). 23693–23728. 1 indexed citations

Chugh, Ritesh, Darren Turnbull, Ahsan Morshed, et al.. (2025). The Promise and Pitfalls: A Literature Review of Generative Artificial Intelligence as a Learning Assistant in ICT Education. Computer Applications in Engineering Education. 33(2). 4 indexed citations

Ahmed, Khandakar, et al.. (2024). From Posts to Knowledge: Annotating a Pandemic-Era Reddit Dataset to Navigate Mental Health Narratives. Applied Sciences. 14(4). 1547–1547. 3 indexed citations

Sun, Le, et al.. (2023). Time Series Classification for Portable Medical Devices. ICST Transactions on Scalable Information Systems. e19–e19. 2 indexed citations

Subramani, Sudha, Jiahua Du, Yanchun Zhang, et al.. (2023). Antisocial Behavior Identification from Twitter Feeds Using Traditional Machine Learning Algorithms and Deep Learning.. ICST Transactions on Scalable Information Systems. e17–e17. 27 indexed citations

Sun, Le, et al.. (2022). A multi-label classification system for anomaly classification in electrocardiogram. Health Information Science and Systems. 10(1). 19–19. 7 indexed citations

Wang, Yilin, et al.. (2022). A ResNet based multiscale feature extraction for classifying multi-variate medical time series. KSII Transactions on Internet and Information Systems. 16(5). 4 indexed citations

Sun, Le, et al.. (2020). FogMed: a Fog-based Framework for Disease Prognosis Based Medical Sensor Data Streams. Computers, materials & continua/Computers, materials & continua (Print). 66(1). 603–619. 27 indexed citations

Subramani, Sudha, et al.. (2020). Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter. IEEE Access. 8. 194027–194044. 15 indexed citations

10.

Du, Jiahua, et al.. (2019). Neural attention with character embeddings for hay fever detection from twitter. Health Information Science and Systems. 7(1). 21–21. 39 indexed citations

11.

Rong, Jia, et al.. (2019). Deep learning for pollen allergy surveillance from twitter in Australia. BMC Medical Informatics and Decision Making. 19(1). 208–208. 13 indexed citations

12.

Subramani, Sudha, et al.. (2019). Deep Learning for Multi-Class Identification From Domestic Violence Online Posts. IEEE Access. 7. 46210–46224. 37 indexed citations

13.

Subramani, Sudha, et al.. (2018). Domestic Violence Crisis Identification From Facebook Posts Based on Deep Learning. IEEE Access. 6. 54075–54085. 48 indexed citations

14.

Subramani, Sudha, et al.. (2018). Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media. ICST Transactions on Scalable Information Systems. 5(17). 154807–154807. 8 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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