Hongjun Wu

78 total papers · 1.3k total citations
17 papers, 324 citations indexed

About

Hongjun Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Hongjun Wu has authored 17 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Hongjun Wu's work include Cryptographic Implementations and Security (6 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Hongjun Wu is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Hongjun Wu collaborates with scholars based in Singapore, China and Belgium. Hongjun Wu's co-authors include Ximeng Liu, Yinbin Miao, Robert H. Deng, Hongwei Li, Kim‐Kwang Raymond Choo, Di Ma, Bart Preneel, Dapeng Wu, Jiguo Li and Lei Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.

In The Last Decade

Hongjun Wu

17 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Hongjun Wu	234	136	92	68	27	17	324
Jiantao Zhou	113 0.5×	95 0.7×	87 0.9×	50 0.7×	12 0.4×	24	277
Ali Mehrabi	207 0.9×	58 0.4×	111 1.2×	26 0.4×	21 0.8×	20	291
Luana Ruiz	132 0.6×	38 0.3×	62 0.7×	39 0.6×	32 1.2×	24	244
Bo Liu	139 0.6×	59 0.4×	51 0.6×	50 0.7×	21 0.8×	14	273
Mahdi Rabbani	128 0.5×	76 0.6×	122 1.3×	117 1.7×	17 0.6×	18	365
Luo Mai	89 0.4×	107 0.8×	66 0.7×	162 2.4×	34 1.3×	19	298
Yiyang Gu	205 0.9×	42 0.3×	80 0.9×	19 0.3×	22 0.8×	15	310
Barış Koçer	111 0.5×	98 0.7×	37 0.4×	133 2.0×	18 0.7×	16	286
Qingqing Long	214 0.9×	52 0.4×	91 1.0×	22 0.3×	17 0.6×	20	324
Guangzhi Zhang	134 0.6×	135 1.0×	71 0.8×	58 0.9×	20 0.7×	15	300

Countries citing papers authored by Hongjun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hongjun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Wu

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