Dawei Feng

1.8k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Dawei Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Dawei Feng has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Dawei Feng's work include Reinforcement Learning in Robotics (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Dawei Feng is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Dawei Feng collaborates with scholars based in China, United Kingdom and France. Dawei Feng's co-authors include Kele Xu, Haibo Mi, Sen Yang, Dongsheng Li, Wei Wang, Jiqiang Liu, Zhen Han, Xing Wang, Xiangliang Zhang and Zhigang Kan and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Dawei Feng

50 papers receiving 1.0k citations

Hit Papers

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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.

Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection

2014 252 citations Dawei Feng et al. profile →

Peers

Countries citing papers authored by Dawei Feng

Since Specialization

Citations

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

Fields of papers citing papers by Dawei Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Feng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Exploring Structure Diversity in Atomic Resolution Microscopy With Graph 2025 ·Advanced Materials ·Zheng Luo, Ming Feng, (unknown), (unknown), Cheng Chen, Hu Liang, Tao Wang, (unknown), (unknown), Fangping Ouyang, Dawei Feng, Huaimin Wang, (unknown), Jin Zhang, Shanshan Wang	3
2	Scaling Bioacoustic Signal Pre-training with Million Samples Via Mask-Modeling 2025 ·Xinpu Deng, (unknown), Kele Xu, (unknown), (unknown), Dawei Feng, Yong Dou	0
3	Dynamic Confidence Variance for Generalized Coreset in Active Learning 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), (unknown), (unknown), Dawei Feng, Xingxing Zhang, Bo Ding, Yijie Wang, Huaimin Wang, Kele Xu	0
4	Learning incremental audio–visual representation for continual multimodal understanding 2024 ·Knowledge-Based Systems ·Boqing Zhu, Changjian Wang, Kele Xu, Dawei Feng, (unknown), (unknown)	1
5	Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning 2024 ·IEEE Transactions on Artificial Intelligence ·(unknown), Kele Xu, (unknown), Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang	1
6	Transformer in reinforcement learning for decision-making: a survey 2024 ·Frontiers of Information Technology & Electronic Engineering ·(unknown), (unknown), Shaofei Chen, Dawei Feng, Zhenzhen Hu, Peng Li, (unknown)	7
7	Tracing Training Progress: Dynamic Influence Based Selection for Active Learning 2024 ·(unknown), Kele Xu, Long Lan, (unknown), Dawei Feng, Bo Ding, Huaimin Wang	1
8	Surgical repair of post myocardial infarction ventricular septal defect: a retrospective analysis of a single institution experience 2023 ·Journal of Cardiothoracic Surgery ·Jian Shi, (unknown), (unknown), Guoan Zhang, Sha Wang, Tao Wei, Zhikun Wang, Xi Zhang, Dawei Feng, Kan Wang, Qiang Liu, Dominique Shum‐Tim	4
9	Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning 2023 ·IEEE Transactions on Artificial Intelligence ·Chao Chen, (unknown), (unknown), Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang	6
10	A Survey of Deep Active Learning for Foundation Models 2023 ·SHILAP Revista de lepidopterología ·(unknown), Kele Xu, Ting Yu, Xu Wang, Dawei Feng, (unknown), Huaimin Wang	10
11	Aging State Assessment of Transformer Oil Based on UV-Vis Spectrum and Fuzzy Algorithm 2022 ·Dawei Feng, (unknown), Yixin Guo	1
12	FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Sen Yang, Guohui Liu, Dawei Feng, Kele Xu	11
13	Exploring Policy Diversity in Parallel Actor-Critic Learning 2022 ·Yanqiang Zhang, (unknown), (unknown), Bo Ding, Dawei Feng, (unknown)	0
14	Learning to select pseudo labels: a semi-supervised method for named entity recognition 2019 ·Frontiers of Information Technology & Electronic Engineering ·(unknown), Dawei Feng, Dongsheng Li, Xicheng Lu	11
15	Exploring Pre-trained Language Models for Event Extraction and Generation 2019 ·Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li	199
16	Effects of bronchial blockers on one-lung ventilation in general anesthesia 2019 ·Medicine ·(unknown), (unknown), (unknown), Dawei Feng, Lei Wang, Yu Nie, (unknown), Zhijun Zhang, (unknown)	14
17	Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory 2019 ·(unknown), Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Dawei Feng	2
18	Multistructure-Based Collaborative Online Distillation 2019 ·Entropy ·Liang Gao, Lan Xu, Haibo Mi, Dawei Feng, Kele Xu, Yuxing Peng	5
19	Resource allocation with multi-factor node ranking in data center networks 2013 ·Future Generation Computer Systems ·(unknown), (unknown), Huaimin Wang, Bo Ding, (unknown), (unknown), Dawei Feng	32
20	Hypoglycemic Properties of Oxovanadium (IV) Coordination Compounds with Carboxymethyl‐Carrageenan and Carboxymethyl‐Chitosan in Alloxan‐Induced Diabetic Mice 2011 ·Evidence-based Complementary and Alternative Medicine ·Hongyu Zhang, (unknown), Dawei Feng, (unknown), Song Qin	16

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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