Hongda Wu

877 total citations · 1 hit paper
30 papers, 614 citations indexed

About

Hongda Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hongda Wu has authored 30 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Hongda Wu's work include Privacy-Preserving Technologies in Data (6 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Hongda Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Hongda Wu collaborates with scholars based in China, Canada and United Kingdom. Hongda Wu's co-authors include Ping Wang, Shiwen Xu, Houjuan Xing, Libiao Jin, Xu Wang, Yan Jiang, Qiyou Xu, Ziwei Zhang, Pu Zhang and Fang Miao and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and Food and Chemical Toxicology.

In The Last Decade

Hongda Wu

28 papers receiving 603 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.

Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data

2022 122 citations Hongda Wu, Ping Wang IEEE Transactions on Network Science and Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hongda Wu China	10	274	116	85	83	73	30	614
Miao Jiang China	10	459 1.7×	34 0.3×	231 2.7×	155 1.9×	38 0.5×	19	741
Zhiyu Hao China	13	90 0.3×	87 0.8×	196 2.3×	15 0.2×	35 0.5×	55	613
Waheed Anwar Pakistan	16	80 0.3×	22 0.2×	102 1.2×	32 0.4×	17 0.2×	65	764
Mostafa Ezziyyani Morocco	13	55 0.2×	14 0.1×	55 0.6×	28 0.3×	42 0.6×	60	614
Yi‐Jing Liu China	12	91 0.3×	11 0.1×	146 1.7×	139 1.7×	5 0.1×	34	474
Xinyu Huang Canada	10	45 0.2×	55 0.5×	211 2.5×	99 1.2×	37 0.5×	32	378
Anand Prem Rajan United States	14	324 1.2×	14 0.1×	24 0.3×	174 2.1×	13 0.2×	55	652

Countries citing papers authored by Hongda Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hongda Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Wu

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

Wu, Hongda, et al.. (2024). Pedestrian Tracking Algorithm for Video Surveillance Based on Lightweight Convolutional Neural Network. IEEE Access. 12. 24831–24842. 3 indexed citations

Wu, Hongda, et al.. (2023). Multi-target tracking algorithm in aquaculture monitoring based on deep learning. Ocean Engineering. 289. 116005–116005. 23 indexed citations

Wu, Hongda, et al.. (2023). Improved Chimpanzee Search Algorithm with Multi-Strategy Fusion and Its Application. Machines. 11(2). 250–250. 2 indexed citations

Wu, Hongda, et al.. (2022). A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks With Transient Data. IEEE Transactions on Vehicular Technology. 71(12). 13310–13319. 16 indexed citations

Jin, Libiao, et al.. (2022). An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme. IEEE Transactions on Vehicular Technology. 71(6). 6518–6533. 4 indexed citations

Wu, Hongda & Ping Wang. (2022). Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data. IEEE Transactions on Network Science and Engineering. 9(5). 3099–3111. 122 indexed citations breakdown →

Wu, Hongda & Ping Wang. (2022). Probabilistic Node Selection for Federated Learning with Heterogeneous Data in Mobile Edge. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 2453–2458. 2 indexed citations

Wu, Hongda & Ping Wang. (2021). Fast-Convergent Federated Learning With Adaptive Weighting. IEEE Transactions on Cognitive Communications and Networking. 7(4). 1078–1088. 135 indexed citations

Jin, Libiao, et al.. (2020). Channel estimation based on the PSS-MUSIC for millimeter-wave MIMO systems equipped with co-prime arrays. EURASIP Journal on Wireless Communications and Networking. 2020(1). 3 indexed citations

10.

Jin, Libiao, et al.. (2019). Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding. EURASIP Journal on Wireless Communications and Networking. 2019(1). 5 indexed citations

11.

Wu, Hongda, et al.. (2018). Codebook-Aided DOA Estimation Algorithms for Massive MIMO System. Electronics. 8(1). 26–26. 6 indexed citations

12.

Liu, Guojun, Aizhong Zhang, Lingyu Yang, et al.. (2018). Gut microbiota correlates with fiber and apparent nutrients digestion in goose. Poultry Science. 97(11). 3899–3909. 26 indexed citations

13.

Wu, Hongda, et al.. (2017). Construction of compressed sensing matrix based on complementary sequence. 28. 23–27. 2 indexed citations

14.

Wu, Hongda, et al.. (2017). Channel estimation in time domain using complementary sequence. 474–477. 2 indexed citations

15.

Wei, Shanshan, et al.. (2017). Research on measurement matrix based on compressed sensing theory. 716–719. 4 indexed citations

16.

Xing, Houjuan, Zhilei Wang, Hongda Wu, et al.. (2015). Assessment of pesticide residues and gene expression in common carp exposed to atrazine and chlorpyrifos: Health risk assessments. Ecotoxicology and Environmental Safety. 113. 491–498. 35 indexed citations

17.

Xing, Houjuan, Chao Wang, Hongda Wu, et al.. (2014). Effects of atrazine and chlorpyrifos on DNA methylation in the brain and gonad of the common carp. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 168. 11–19. 41 indexed citations

18.

Xing, Houjuan, Haibo Wang, Hongda Wu, et al.. (2013). Antioxidant response, CYP450 system, and histopathological changes in the liver of nitrobenzene-treated drakes. Research in Veterinary Science. 95(3). 1088–1093. 8 indexed citations

19.

Wang, Xu, Houjuan Xing, Yan Jiang, et al.. (2013). Accumulation, histopathological effects and response of biochemical markers in the spleens and head kidneys of common carp exposed to atrazine and chlorpyrifos. Food and Chemical Toxicology. 62. 148–158. 74 indexed citations

20.

Xing, Houjuan, et al.. (2012). Alterations in activity and mRNA expression of acetylcholinesterase in the liver, kidney and gill of common carp exposed to atrazine and chlorpyrifos. Environmental Toxicology and Pharmacology. 35(1). 47–54. 46 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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