Zongda Wu

9 total papers · 490 total citations
7 papers, 428 citations indexed

About

Zongda Wu is a scholar working on Sociology and Political Science, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zongda Wu has authored 7 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Zongda Wu's work include Privacy-Preserving Technologies in Data (4 papers), Cryptography and Data Security (3 papers) and Privacy, Security, and Data Protection (3 papers). Zongda Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Cryptography and Data Security (3 papers) and Privacy, Security, and Data Protection (3 papers). Zongda Wu collaborates with scholars based in China, Australia and Canada. Zongda Wu's co-authors include Enhong Chen, Xinze Lian, Shigen Shen, Guandong Xu, Xinning Su, Guiling Li, Xiyang Liu, Ruiqin Wang, Qi Li and Zhaoxi Fang and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Knowledge-Based Systems and IEEE Wireless Communications Letters.

In The Last Decade

Zongda Wu

7 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zongda Wu	274	61	60	54	53	7	428
Chenglang Lu	207 0.8×	66 1.1×	80 1.3×	19 0.4×	23 0.4×	20	407
Ying Zhao	201 0.7×	18 0.3×	105 1.8×	42 0.8×	18 0.3×	9	414
Anwesha Law	98 0.4×	26 0.4×	76 1.3×	49 0.9×	66 1.2×	14	431
Noureen Talpur	191 0.7×	22 0.4×	31 0.5×	37 0.7×	24 0.5×	13	380
Mohamadtaghi Rahimi	131 0.5×	28 0.5×	68 1.1×	48 0.9×	18 0.3×	14	434
Pradip Dhal	192 0.7×	26 0.4×	75 1.3×	36 0.7×	30 0.6×	13	375
Enas Elgeldawi	151 0.6×	18 0.3×	46 0.8×	32 0.6×	107 2.0×	13	487
Nur Mohammad Fahad	191 0.7×	44 0.7×	48 0.8×	34 0.6×	9 0.2×	17	433
Ayush Singhal	159 0.6×	43 0.7×	79 1.3×	42 0.8×	23 0.4×	22	452
Nathan Bartley	167 0.6×	18 0.3×	30 0.5×	19 0.4×	27 0.5×	6	390

Countries citing papers authored by Zongda Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zongda Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongda Wu

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