Ee‐Chien Chang

4.6k citations
116 papers · 2.4k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Ee‐Chien Chang

106 papers receiving 2.2k citations

Hit Papers

Towards Scaling Blockchain Systems via Sharding 2019 · 335 citations
3352019202620212023100200300

Peers

Ee‐Chien Chang
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 912
  • Information Systems 887
  • Signal Processing 375
  • Artificial Intelligence 803
  • Computer Networks and Communications 563
Replace Ajit Singh with:
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Qingbo Wu China
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Zhi Yang China
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Ee‐Chien Chang relative to Ajit Singh United States Ajit Singh's profile →
Citations per field
00.5×3.5×
Ajit Singh · 1×
Citations per year

Countries citing papers authored by Ee‐Chien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ee‐Chien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ee‐Chien Chang. 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 Ee‐Chien Chang. The network helps show where Ee‐Chien Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20243
6 202414
7 20232
8 20233
9 20230
10 20231
11 202320
12 20231
13 202111
14
{BNV}: Enabling Scalable Network Experimentation through Bare-metal Network Virtualization
20184
15 20181
16 201875
17
Evading Classifier in the Dark: Guiding Unpredictable Morphing Using Binary-Output Blackboxes.
20171
18
M 2 R: enabling stronger privacy in mapreduce computation
201536
19
Securing Kiosk using Mobile Devices coupled with Visual Inspection
20100
20 200034

About Ee‐Chien Chang

Ee‐Chien Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cryptography and Data Security (24 papers), Advanced Steganography and Watermarking Techniques (23 papers), Network Security and Intrusion Detection (13 papers), Security and Verification in Computing (13 papers), Privacy-Preserving Technologies in Data (13 papers), Cloud Data Security Solutions (11 papers), Smart Grid Security and Resilience (10 papers) and Digital Media Forensic Detection (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (912 citations), Information Systems (887 citations), Signal Processing (375 citations), Artificial Intelligence (803 citations) and Computer Networks and Communications (563 citations). Ee‐Chien Chang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Jia Xu, M.T. Orchard, Hung Dang, Harold S. Stone, Qibin Sun, Beng Chin Ooi, Tien Tuan Anh Dinh, S.A. Martucci, Dumitrel Loghin and Qian Lin. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, Multimedia Systems, IEEE Transactions on Multimedia and IEEE Transactions on Geoscience and Remote Sensing.

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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