Yin Pan

428 citations
32 papers · 255 · h-index 8

Impact in

Papers in

Yin Pan

26 papers receiving 232 citations

Peers

Yin Pan
Comparison fields: 5 of 67
  • Signal Processing 95
  • Information Systems 105
  • Information Systems and Management 24
  • Communication 21
  • Computer Networks and Communications 69
Replace Seibu Mary Jacob with:
Seibu Mary Jacob Malaysia
Ame Elliott United States
Donato Pirozzi Italy
Gary Geisler United States
Roeland Ordelman Netherlands
Marco Polignano Italy
Andrea Basso United States
Ishbel Duncan United Kingdom
Celeste Lyn Paul United States
Kristen Greene United States
Yin Pan relative to Seibu Mary Jacob Malaysia Seibu Mary Jacob's profile →
Citations per field
00.5×5.3×
Seibu Mary Jacob · 1×
Citations per year

Countries citing papers authored by Yin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yin Pan, 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 Yin Pan Line = papers co-authored together Yin Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201649
3 200319
4 200818
5
Forensic Acquisition and Analysis of VMware Virtual Hard Disks
201213
6 200411
7 20149
8 20158
9 20116
10 20125
11 20075
12 20094
13 20054
14 20134
15 20233
16 20173
17
Computer forensics technologies for personally identifiable information detection and audits
20103
18 20173
19
UNDERSTANDING SOCIAL NETWORK SITES CONTINUANCE INTENTION FROM A SELF-DISCLOSURE AND SOCIAL CAPITAL PERSPECTIVE
20142
20 20212

About Yin Pan

Yin Pan is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Digital and Cyber Forensics (8 papers), Mobile Ad Hoc Networks (4 papers), Software-Defined Networks and 5G (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Network Security and Intrusion Detection (4 papers), Digital Media Forensic Detection (4 papers) and Digital Games and Media (3 papers). The work is most often cited by research in Signal Processing (95 citations), Information Systems (105 citations), Information Systems and Management (24 citations), Communication (21 citations) and Computer Networks and Communications (69 citations). Yin Pan has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Bin Guo, Xi Chen, Bo Yuan, Rui Li, Sumita Mishra, Thomas L. Haskell, Daryl Johnson, Nirmala Shenoy, Zuoxin Wang and Zhibin Zhang. Their work appears in journals such as Journal of the Association for Information Systems, Applied Sciences, Neuroscience, Internet Research and Journal of Neuroendocrinology.

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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