Chandranath Adak

795 total citations · 1 hit paper
36 papers, 452 citations indexed

About

Chandranath Adak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chandranath Adak has authored 36 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Chandranath Adak's work include Handwritten Text Recognition Techniques (19 papers), Natural Language Processing Techniques (12 papers) and Vehicle License Plate Recognition (6 papers). Chandranath Adak is often cited by papers focused on Handwritten Text Recognition Techniques (19 papers), Natural Language Processing Techniques (12 papers) and Vehicle License Plate Recognition (6 papers). Chandranath Adak collaborates with scholars based in India, Australia and United States. Chandranath Adak's co-authors include B.B. Chaudhuri, Xian Tao, Michael Blumenstein, Xinyi Gong, Xin Zhang, Wenzhi Ma, Dapeng Zhang, Pang‐jo Chun, Vinayak B. Kamble and Huaping Liu and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chandranath Adak

30 papers receiving 441 citations

Hit Papers

Deep Learning for Unsupervised Anomaly Localization in In... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
    2022 125 citations Xian Tao, Chandranath Adak et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers

Chandranath Adak
Di Zhou China
Wenju Zhou China
Zunkai Huang China
Xizhou Pan China
Xiaofeng Zhang China
Vilas H. Gaidhane United Arab Emirates
Shiqi Li China
Zongwei Zhu China
Yiqi Zhong China
Di Zhou China
Chandranath Adak
Citations per year, relative to Chandranath Adak Chandranath Adak (= 1×) peers Di Zhou

Countries citing papers authored by Chandranath Adak

Since Specialization
Citations

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

Fields of papers citing papers by Chandranath Adak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandranath Adak

This figure shows the co-authorship network connecting the top 25 collaborators of Chandranath Adak. A scholar is included among the top collaborators of Chandranath Adak 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 Chandranath Adak. Chandranath Adak 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.
Kumari, Priya, et al.. (2025). Offline Signature Verification: Exploring Intra-Variability Across Time Intervals. IEEE Transactions on Biometrics Behavior and Identity Science. 7(4). 541–549.
2.
Mukherjee, Subhasis, et al.. (2025). Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(8). 1–27.
3.
4.
Adak, Chandranath, et al.. (2024). Detecting severity of Diabetic Retinopathy from fundus images: A transformer network-based review. Neurocomputing. 597. 127991–127991. 11 indexed citations
5.
Adak, Chandranath, et al.. (2024). Demystifying Visual Features of Movie Posters for Multilabel Genre Identification. IEEE Transactions on Computational Social Systems. 12(5). 2120–2129. 1 indexed citations
6.
Adak, Chandranath, et al.. (2024). Quantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach. Talanta. 286. 127493–127493. 2 indexed citations
7.
Adak, Chandranath, et al.. (2024). Smart sensing of creatinine in urine samples: Leveraging Cu-nanowires/MoS2 quantum dots and machine learning. Sensing and Bio-Sensing Research. 47. 100727–100727. 2 indexed citations
8.
Adak, Chandranath, et al.. (2024). Metal oxide-based gas sensor array for VOCs determination in complex mixtures using machine learning. Microchimica Acta. 191(4). 196–196. 42 indexed citations
9.
Adak, Chandranath, et al.. (2024). Assessing penmanship of Chinese handwriting: a deep learning-based approach. Reading and Writing. 38(3). 723–743. 2 indexed citations
10.
11.
Tao, Xian, et al.. (2023). ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 29 indexed citations
12.
Tao, Xian, et al.. (2022). Unsupervised Anomaly Detection for Surface Defects With Dual-Siamese Network. IEEE Transactions on Industrial Informatics. 18(11). 7707–7717. 77 indexed citations
13.
Chattopadhyay, Soumi, et al.. (2022). OffDQ: An Offline Deep Learning Framework for QoS Prediction. Proceedings of the ACM Web Conference 2022. 1987–1996. 8 indexed citations
14.
Adak, Chandranath, Simone Marinai, B.B. Chaudhuri, & Michael Blumenstein. (2018). Offline Bengali Writer Verification by PDF-CNN and Siamese Net. Florence Research (University of Florence). 381–386. 6 indexed citations
15.
Adak, Chandranath, B.B. Chaudhuri, & Michael Blumenstein. (2018). A Study on Idiosyncratic Handwriting with Impact on Writer Identification. Griffith Research Online (Griffith University, Queensland, Australia). 193–198. 1 indexed citations
16.
Adak, Chandranath, B.B. Chaudhuri, & Michael Blumenstein. (2017). Writer Identification and Verification from Intra-variable Individual Handwriting.. arXiv (Cornell University). 2 indexed citations
17.
Adak, Chandranath, B.B. Chaudhuri, & Michael Blumenstein. (2017). Impact of struck-out text on writer identification. Griffith Research Online (Griffith University, Queensland, Australia). 1465–1471. 9 indexed citations
18.
Chaudhuri, B.B. & Chandranath Adak. (2016). An approach for detecting and cleaning of struck-out handwritten text. Pattern Recognition. 61. 282–294. 21 indexed citations
19.
Adak, Chandranath & B.B. Chaudhuri. (2015). Writer Identification from offline isolated Bangla characters and numerals. 486–490. 22 indexed citations
20.
Adak, Chandranath. (2014). A bilingual machine translation system: English & Bengali. 1–4. 5 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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