Albert B. Jeng

490 citations
29 papers · 223 · h-index 10

Impact in

Papers in

    • Spam and Phishing Detection 9
    • Digital and Cyber Forensics 5
    • Web Application Security Vulnerabilities 4
    • Advanced Malware Detection Techniques 17

Albert B. Jeng

29 papers receiving 210 citations

Peers

Albert B. Jeng
Comparison fields: 5 of 33
  • Signal Processing 160
  • Software 36
  • Information Systems 153
  • Computer Networks and Communications 117
  • Artificial Intelligence 57
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Citations per year

Countries citing papers authored by Albert B. Jeng

Since Specialization
Citations

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

Fields of papers citing papers by Albert B. Jeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert B. Jeng. 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 Albert B. Jeng. The network helps show where Albert B. Jeng may publish in the future.

Co-authors

The 19 scholars most cited alongside Albert B. Jeng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Albert B. Jeng Line = papers co-authored together Albert B. Jeng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201240
2 201423
3 201215
4 201514
5
Android privacy
201213
6 200912
7 198711
8 201511
9 199710
10 201510
11 20137
12 20097
13
Obfuscated malicious JavaScript detection by Causal Relations Finding
20116
14 20126
15 20116
16 20194
17 20124
18 20153
19 20173
20 20043

About Albert B. Jeng

Albert B. Jeng is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Media Technology, having authored 29 papers that have together received 223 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (17 papers), Network Security and Intrusion Detection (10 papers), Spam and Phishing Detection (9 papers), RFID technology advancements (6 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Digital and Cyber Forensics (5 papers), Advanced Authentication Protocols Security (5 papers) and Web Application Security Vulnerabilities (4 papers). The work is most often cited by research in Signal Processing (160 citations), Software (36 citations), Information Systems (153 citations), Computer Networks and Communications (117 citations) and Artificial Intelligence (57 citations). Albert B. Jeng has collaborated with scholars based in Taiwan, Jordan and United States. Frequent co-authors include Te-En Wei, Hahn-Ming Lee, Ching-Hao Mao, Marshall D. Abrams, Yen‐Lin Chen, Ismail Al-Taharwa, Shyi‐Ming Chen, Chin‐Wei Tien, Kuo-Ping Wu and Robert H. Deng. Their work appears in journals such as Applied Mathematics and Computation, Soft Computing, IEEE Network, IEICE Transactions on Information and Systems and Security and Communication Networks.

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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