Hangbae Chang

1.1k citations
101 papers · 901 · h-index 14

Impact in

Papers in

Hangbae Chang

89 papers receiving 848 citations

Peers

Hangbae Chang
Comparison fields: 5 of 97
  • Information Systems 371
  • Computer Networks and Communications 322
  • Media Technology 61
  • Industrial and Manufacturing Engineering 67
  • Signal Processing 69
Replace S. B. Goyal with:
S. B. Goyal Malaysia
Ibrahim Mashal Taiwan
Vijender Kumar Solanki India
Arun Solanki India
AKM Bahalul Haque Bangladesh
Sita Rani India
Mikhail Zymbler Russia
Domenico Santaniello Italy
Dongliang Chen China
Jan Höller Sweden
Hangbae Chang relative to S. B. Goyal Malaysia S. B. Goyal's profile →
Citations per field
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S. B. Goyal · 1×
Citations per year

Countries citing papers authored by Hangbae Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hangbae Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018124
2 201897
3 201583
4 202178
5 202054
6 201537
7 201430
8 201623
9 201823
10 201819
11 201016
12 201415
13 201915
14 201514
15 200713
16 201212
17 201612
18 201711
19 201711
20
The Development of Security System for Sharing CAD Drawings in u-Environment
200810

About Hangbae Chang

Hangbae Chang is a scholar working on Information Systems, Computer Networks and Communications, Health Information Management, Transportation and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 901 indexed citations. Recurring topics across this work include Technology and Data Analysis (29 papers), Innovation in Digital Healthcare Systems (27 papers), Information and Cyber Security (16 papers), Energy and Environmental Systems (16 papers), Internet of Things and Social Network Interactions (9 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (7 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Information Systems (371 citations), Computer Networks and Communications (322 citations), Media Technology (61 citations), Industrial and Manufacturing Engineering (67 citations) and Signal Processing (69 citations). Hangbae Chang has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Lee Won Park, Sanghoon Lee, Yanghoon Kim, Anand Paul, Awais Ahmad, Jong Hyuk Park, Shailendra Rathore, M. Mazhar Rathore, Seungmin Rho and Sohail Jabbar. Their work appears in journals such as Sustainability, Multimedia Tools and Applications, Personal and Ubiquitous Computing, EURASIP Journal on Wireless Communications and Networking and Security Journal.

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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