Chii Chang
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Satish Narayana SriramaRajkumar BuyyaSea LingShonali KrishnaswamySeng W. LokeHuber FloresHai DongFlora D. Salim
- Topics
- IoT and Edge/Fog Computing (24 papers)Context-Aware Activity Recognition Systems (14 papers)Caching and Content Delivery (8 papers)
In The Last Decade
Chii Chang
30 papers receiving 301 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 262
- Information Systems 109
- Computer Vision and Pattern Recognition 91
- Electrical and Electronic Engineering 64
- Artificial Intelligence 23
Countries citing papers authored by Chii Chang
This map shows the geographic impact of Chii 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 Chii Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chii Chang more than expected).
Fields of papers citing papers by Chii Chang
This network shows the impact of papers produced by Chii 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 Chii Chang. The network helps show where Chii Chang may publish in the future.
Co-authorship network of co-authors of Chii Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Chii Chang. A scholar is included among the top collaborators of Chii Chang 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 Chii Chang. Chii Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 71 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | Towards an Infrastructure-less SOA for Mobile Web Service Composition | 0 |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | Progress toward a Semantic eScience Framework; building on advanced cyberinfrastructure | 2 |
| 20 | 1 |
About Chii Chang
Chii Chang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 31 papers that have together received 314 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (24 papers), Context-Aware Activity Recognition Systems (14 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (262 citations), Information Systems (109 citations) and Computer Vision and Pattern Recognition (91 citations). Chii Chang has collaborated with scholars based in Estonia, Australia and Czechia. Frequent co-authors include Satish Narayana Srirama, Rajkumar Buyya, Sea Ling, Shonali Krishnaswamy, Seng W. Loke, Huber Flores, Hai Dong, Flora D. Salim, Peter Fox and Stephan Zednik. Their work appears in journals such as Computer, Journal of Systems and Software and Pervasive and Mobile Computing.
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.