Siwei Feng

1.4k total citations · 1 hit paper
27 papers, 927 citations indexed

About

Siwei Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Siwei Feng has authored 27 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Media Technology. Recurrent topics in Siwei Feng's work include Remote-Sensing Image Classification (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Image Retrieval and Classification Techniques (6 papers). Siwei Feng is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Image Retrieval and Classification Techniques (6 papers). Siwei Feng collaborates with scholars based in United States, China and Singapore. Siwei Feng's co-authors include R. Manmatha, Victor Lavrenko, Marco F. Duarte, M. Parente, Yuki Itoh, Han Yu, Qingguo Wei, Boyang Li, Yang Liu and Qiang Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Siwei Feng

24 papers receiving 882 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.

Multiple Bernoulli relevance models for image and video annotation

2004 552 citations Siwei Feng, R. Manmatha et al. profile →

Peers

Countries citing papers authored by Siwei Feng

Since Specialization

Citations

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

Fields of papers citing papers by Siwei Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwei Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Siwei Feng. A scholar is included among the top collaborators of Siwei 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 Siwei Feng. Siwei 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	Mobility-aware decentralized federated learning with joint optimization of local iteration and leader selection for vehicular networks 2025 ·Computer Networks ·(unknown), Tao Deng, Juncheng Jia, Siwei Feng, Di Yuan	3
2	Personalized Federated Class-Incremental Learning through Critical Parameter Transfer 2025 ·Feng Wu, Siwei Feng, Yuanlu Chen, (unknown)	2
3	Federated Class-Incremental Learning via Weighted Aggregation and Distillation 2025 ·IEEE Internet of Things Journal ·Feng Wu, (unknown), Siwei Feng, Han Yu, (unknown), (unknown), Yuanlu Chen	0
4	MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios 2024 ·Sensors ·Siwei Feng, Han Yu, (unknown)	4
5	General Federated Class-Incremental Learning With Lightweight Generative Replay 2024 ·IEEE Internet of Things Journal ·Yuanlu Chen, (unknown), Siwei Feng, Han Yu, (unknown), (unknown), Feng Wu	3
6	FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models 2024 ·(unknown), Siwei Feng, Han Yu	1
7	Federated Learning for Personalized Humor Recognition 2022 ·ACM Transactions on Intelligent Systems and Technology ·(unknown), Han Yu, Boyang Li, (unknown), (unknown), Siwei Feng, Zaiqing Nie, Chunyan Miao	8
8	Vertical federated learning-based feature selection with non-overlapping sample utilization 2022 ·Expert Systems with Applications ·Siwei Feng	32
9	Semi-Supervised Federated Heterogeneous Transfer Learning 2022 ·Knowledge-Based Systems ·Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang	29
10	Sparsity in Machine Learning: An Information Selecting Perspective 2021 ·Scholarworks (University of Massachusetts Amherst) ·Siwei Feng	0
11	On Minimizing the Number of Running Buffers for Tabletop Rearrangement 2021 ·Kaizhou Gao, Siwei Feng, Jingjin Yu	14
12	Wavelet-Based Non-Homogeneous Hidden Markov Chain Model For Hyperspectral Signature Classification 2021 ·Scholarworks (University of Massachusetts Amherst) ·Siwei Feng	0
13	Graph Regularized Autoencoder-Based Unsupervised Feature Selection 2018 ·2018 52nd Asilomar Conference on Signals, Systems, and Computers ·Siwei Feng, Marco F. Duarte	5
14	Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation 2018 ·Neurocomputing ·Siwei Feng, Marco F. Duarte	36
15	Hyperspectral Band Selection From Statistical Wavelet Models 2017 ·IEEE Transactions on Geoscience and Remote Sensing ·Siwei Feng, Yuki Itoh, M. Parente, Marco F. Duarte	45
16	Stimulus Specificity of Brain-Computer Interfaces Based on Code Modulation Visual Evoked Potentials 2016 ·PLoS ONE ·Qingguo Wei, Siwei Feng, (unknown)	24
17	Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures 2015 ·Siwei Feng, Marco F. Duarte, M. Parente	6
18	Hyperspectral unmixing via semantic spectral representations 2014 ·Yuki Itoh, Siwei Feng, Marco F. Duarte, M. Parente	3
19	Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification 2014 ·Siwei Feng, Yuki Itoh, M. Parente, Marco F. Duarte	4
20	Statistical models for automatic video annotation and retrieval 2004 ·Victor Lavrenko, Siwei Feng, R. Manmatha	49

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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