Manjeevan Seera

2.5k total citations · 1 hit paper
58 papers, 1.7k citations indexed

About

Manjeevan Seera is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Manjeevan Seera has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Control and Systems Engineering. Recurrent topics in Manjeevan Seera's work include Machine Fault Diagnosis Techniques (10 papers), Fuzzy Logic and Control Systems (10 papers) and Neural Networks and Applications (10 papers). Manjeevan Seera is often cited by papers focused on Machine Fault Diagnosis Techniques (10 papers), Fuzzy Logic and Control Systems (10 papers) and Neural Networks and Applications (10 papers). Manjeevan Seera collaborates with scholars based in Malaysia, Australia and Japan. Manjeevan Seera's co-authors include Chee Peng Lim, Chu Kiong Loo, Asoke K. Nandi, Dahaman Ishak, Harbindar Jeet Singh, Saeid Nahavandi, P. Balasubramaniam, Lakhmi C. Jain, M. L. Dennis Wong and Ajay Kumar and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Manjeevan Seera

58 papers receiving 1.6k 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.

Credit Card Fraud Detection Using AdaBoost and Majority Voting

2018 288 citations Chu Kiong Loo, Manjeevan Seera 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
Manjeevan Seera Malaysia	21	889	459	237	221	207	58	1.7k
Satchidananda Dehuri India	23	912 1.0×	167 0.4×	274 1.2×	199 0.9×	54 0.3×	159	1.9k
Hitham Alhussian Malaysia	21	864 1.0×	242 0.5×	274 1.2×	172 0.8×	85 0.4×	69	2.0k
César García‐Osorio Spain	22	867 1.0×	61 0.1×	208 0.9×	189 0.9×	81 0.4×	56	1.3k
Jiaming Li Australia	18	494 0.6×	143 0.3×	167 0.7×	415 1.9×	60 0.3×	44	1.3k
Subramaniam Ganesan United States	16	209 0.2×	159 0.3×	234 1.0×	246 1.1×	112 0.5×	108	1.1k
Bayu Adhi Tama South Korea	22	1.1k 1.2×	235 0.5×	104 0.4×	151 0.7×	151 0.7×	72	2.0k
Changfei Tong China	9	635 0.7×	108 0.2×	126 0.5×	112 0.5×	38 0.2×	16	1.1k
Aleena Swetapadma India	21	314 0.4×	881 1.9×	143 0.6×	887 4.0×	101 0.5×	95	2.0k
Raed Abu Zitar Jordan	29	1.0k 1.1×	298 0.6×	425 1.8×	431 2.0×	68 0.3×	124	2.4k
Takashi Onoda Japan	12	811 0.9×	252 0.5×	476 2.0×	218 1.0×	51 0.2×	73	1.4k

Countries citing papers authored by Manjeevan Seera

Since Specialization

Citations

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

Fields of papers citing papers by Manjeevan Seera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjeevan Seera

This figure shows the co-authorship network connecting the top 25 collaborators of Manjeevan Seera. A scholar is included among the top collaborators of Manjeevan Seera 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 Manjeevan Seera. Manjeevan Seera 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

Najaf, Khakan & Manjeevan Seera. (2025). Digital innovations for transforming corporate risk behaviours and carbon emissions in FinTech services. 8. 100023–100023. 2 indexed citations

Seera, Manjeevan, et al.. (2025). Collaboration or compliance? Unpacking ESG performance and carbon penalties. Sustainable Futures. 9. 100758–100758. 1 indexed citations

Kumar, Suresh, et al.. (2025). Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. PLoS ONE. 20(1). e0316493–e0316493. 2 indexed citations

Seera, Manjeevan, et al.. (2024). Utilising machine learning for corporate social responsibility (CSR) and environmental, social, and governance (ESG) evaluation: Transitioning from committees to climate. Sustainable Futures. 8. 100329–100329. 5 indexed citations

Sabri, Aznul Qalid Md, et al.. (2024). Navigating the landscape of concept-supported XAI: Challenges, innovations, and future directions. Multimedia Tools and Applications. 83(25). 67147–67197. 6 indexed citations

Seera, Manjeevan, Choo Jun Tan, Kok‐Keong Chong, & Chee Peng Lim. (2021). Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm. Energy. 223. 120009–120009. 13 indexed citations

Seera, Manjeevan, Chee Peng Lim, Ajay Kumar, Lalitha Dhamotharan, & Kim Hua Tan. (2021). An intelligent payment card fraud detection system. Annals of Operations Research. 334(1-3). 445–467. 80 indexed citations

Kareem, Sameem Abdul, Aznul Qalid Md Sabri, Manjeevan Seera, et al.. (2021). Feature Extension of Gut Microbiome Data for Deep Neural Network-Based Colorectal Cancer Classification. IEEE Access. 9. 23565–23578. 34 indexed citations

Loo, Chu Kiong, et al.. (2020). Superpixels Features Extractor Network (SP-FEN) for Clothing Parsing Enhancement. Neural Processing Letters. 51(3). 2245–2263. 11 indexed citations

10.

Liu, Zongying, Chu Kiong Loo, Kitsuchart Pasupa, & Manjeevan Seera. (2019). Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling. Engineering Applications of Artificial Intelligence. 88. 103327–103327. 18 indexed citations

11.

Seera, Manjeevan, Chee Peng Lim, & Shing Chiang Tan. (2018). A hybrid FAM‐CART model for online data classification. Computational Intelligence. 34(2). 562–581. 2 indexed citations

12.

Masuyama, Naoki, Chu Kiong Loo, Manjeevan Seera, & Naoyuki Kubota. (2017). Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning. IEEE Transactions on Neural Networks and Learning Systems. 29(4). 1058–1068. 7 indexed citations

13.

Pratama, Mahardhika, Plamen Angelov, Jie Lü, et al.. (2017). A randomized neural network for data streams. Swinburne Research Bank (Swinburne University of Technology). 3423–3430. 5 indexed citations

14.

Masuyama, Naoki, Chu Kiong Loo, & Manjeevan Seera. (2017). Personality affected robotic emotional model with associative memory for human-robot interaction. Neurocomputing. 272. 213–225. 33 indexed citations

15.

Neoh, Siew Chin, Choo Jun Tan, Manjeevan Seera, & Chu Kiong Loo. (2016). Web-Based Career Path Model for Human Resource Management. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 8(12). 23–26. 1 indexed citations

16.

Nooralishahi, Parham, Manjeevan Seera, & Chu Kiong Loo. (2016). Online semi-supervised multi-channel time series classifier based on growing neural gas. Neural Computing and Applications. 28(11). 3491–3505. 4 indexed citations

17.

Seera, Manjeevan, et al.. (2014). A modified fuzzy min–max neural network for data clustering and its application to power quality monitoring. Applied Soft Computing. 28. 19–29. 37 indexed citations

18.

Seera, Manjeevan, et al.. (2013). Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model. Applied Soft Computing. 13(12). 4493–4507. 40 indexed citations

19.

Seera, Manjeevan, et al.. (2012). Electrical energy audit in a Malaysian university - a case study. 616–619. 19 indexed citations

20.

Seera, Manjeevan, et al.. (2012). Application of the fuzzy min–max neural network to fault detection and diagnosis of induction motors. Neural Computing and Applications. 23(S1). 191–200. 24 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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