Doyen Sahoo

3.1k total citations · 2 hit papers
21 papers, 1.3k citations indexed

About

Doyen Sahoo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Doyen Sahoo has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Doyen Sahoo's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (4 papers). Doyen Sahoo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (4 papers). Doyen Sahoo collaborates with scholars based in Singapore, United States and China. Doyen Sahoo's co-authors include Steven C. H. Hoi, Xiongwei Wu, Peilin Zhao, Jing Lu, Chenghao Liu, Hao Wang, Ee‐Peng Lim, Bin Li, Hung Lê and Nancy F. Chen and has published in prestigious journals such as International Journal of Computer Vision, Neurocomputing and Computer Speech & Language.

In The Last Decade

Doyen Sahoo

19 papers receiving 1.3k citations

Hit Papers

Recent advances in deep learning for object detection 2020 2026 2022 2024 2020 2021 200 400 600
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. Recent advances in deep learning for object detection
    2020 711 citations Xiongwei Wu, Doyen Sahoo et al. Neurocomputing profile →
  2. Online learning: A comprehensive survey
    2021 336 citations Steven C. H. Hoi, Doyen Sahoo et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doyen Sahoo Singapore 11 607 428 105 101 100 21 1.3k
Li He China 16 524 0.9× 222 0.5× 93 0.9× 88 0.9× 175 1.8× 92 1.1k
Junjie Hu China 20 636 1.0× 822 1.9× 120 1.1× 153 1.5× 146 1.5× 82 1.5k
Lei Cai China 19 471 0.8× 427 1.0× 128 1.2× 57 0.6× 51 0.5× 99 1.2k
Hao Gao China 18 613 1.0× 503 1.2× 153 1.5× 135 1.3× 108 1.1× 116 1.4k
Xudong Sun China 16 618 1.0× 359 0.8× 216 2.1× 169 1.7× 93 0.9× 63 1.7k
Siyuan Qiao United States 13 1.0k 1.7× 375 0.9× 167 1.6× 67 0.7× 185 1.9× 25 1.4k
Mamoona Naveed Asghar Ireland 17 723 1.2× 239 0.6× 80 0.8× 82 0.8× 76 0.8× 64 1.2k
Pengzhen Ren Australia 9 536 0.9× 711 1.7× 78 0.7× 89 0.9× 60 0.6× 12 1.3k
Tao Leí China 20 575 0.9× 760 1.8× 230 2.2× 111 1.1× 144 1.4× 90 1.6k

Countries citing papers authored by Doyen Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Doyen Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doyen Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Doyen Sahoo. A scholar is included among the top collaborators of Doyen Sahoo 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 Doyen Sahoo. Doyen Sahoo 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.
Peng, Yün, Akhilesh Deepak Gotmare, Michael R. Lyu, et al.. (2025). PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. 1–13. 2 indexed citations
2.
Li, Dongxu, et al.. (2025). MoonShot: Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions. International Journal of Computer Vision. 133(6). 3629–3644.
3.
Zhou, Yingbo, et al.. (2025). CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. 3711–3726. 1 indexed citations
4.
Liu, Chenghao, et al.. (2023). OTW: Optimal Transport Warping for Time Series. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5.
5.
Pham, Quang, Chenghao Liu, Doyen Sahoo, & Steven C. H. Hoi. (2021). Contextual Transformation Networks for Online Continual Learning. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 13 indexed citations
6.
Wu, Xiongwei, Steven C. H. Hoi, & Doyen Sahoo. (2021). PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection. International Conference on Learning Representations. 4 indexed citations
7.
Hoi, Steven C. H., Doyen Sahoo, Jing Lu, & Peilin Zhao. (2021). Online learning: A comprehensive survey. Neurocomputing. 459. 249–289. 336 indexed citations breakdown →
8.
Lê, Hung, Doyen Sahoo, Nancy F. Chen, & Steven C. H. Hoi. (2020). BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. 1846–1859. 13 indexed citations
9.
Wu, Xiongwei, Doyen Sahoo, & Steven C. H. Hoi. (2020). Recent advances in deep learning for object detection. Neurocomputing. 396. 39–64. 711 indexed citations breakdown →
10.
Le, Hung T., Doyen Sahoo, Nancy F. Chen, & Steven C. H. Hoi. (2020). Hierarchical multimodal attention for end-to-end audio-visual scene-aware dialogue response generation. Computer Speech & Language. 63. 101095–101095. 2 indexed citations
11.
Lê, Hung, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, & Steven C. H. Hoi. (2020). UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. 1860–1877. 16 indexed citations
12.
Wu, Xiongwei, Doyen Sahoo, & Steven C. H. Hoi. (2020). Meta-RCNN: Meta Learning for Few-Shot Object Detection. 1679–1687. 51 indexed citations
13.
Sahoo, Doyen, Steven C. H. Hoi, & Bin Li. (2019). Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction. ACM Transactions on Knowledge Discovery from Data. 13(1). 1–33. 31 indexed citations
14.
Wang, Hao, Doyen Sahoo, Chenghao Liu, Ee‐Peng Lim, & Steven C. H. Hoi. (2019). Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. 11564–11573. 85 indexed citations
15.
Sahoo, Doyen, et al.. (2019). End-to-End Multi-Domain Task-Oriented Dialogue Systems with Multi-level Neural Belief Tracker. 2 indexed citations
16.
Sahoo, Doyen, Hung Lê, Chenghao Liu, & Steven C. H. Hoi. (2018). Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift. 12 indexed citations
17.
Sahoo, Doyen. (2017). Online learning with nonlinear models. 1 indexed citations
18.
Sahoo, Doyen, Steven C. H. Hoi, & Peilin Zhao. (2016). Cost sensitive online multiple kernel classification. Asian Conference on Machine Learning. 63. 65–80. 10 indexed citations
19.
Bhoi, Akash Kumar, Doyen Sahoo, & Rakesh Chandra Balabantaray. (2016). Automatic creation of NE list for Odia. 845–848. 1 indexed citations
20.
Mohanty, Asit, et al.. (2009). Phytochemical Screening of Crude Bark extracts of Tecoma stans Linn. (Bignoniaceae).. 2(4). 816–818. 1 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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