Junqin Huang
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Organic Chemistry top 10%
- Electrical and Electronic Engineering
- Topics
- Blockchain Technology Applications and Security (10 papers)Privacy-Preserving Technologies in Data (5 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Junqin Huang
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Information Systems 595
- Computer Networks and Communications 494
- Artificial Intelligence 230
- Organic Chemistry 189
- Electrical and Electronic Engineering 158
Countries citing papers authored by Junqin Huang
This map shows the geographic impact of Junqin Huang'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 Junqin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqin Huang more than expected).
Fields of papers citing papers by Junqin Huang
This network shows the impact of papers produced by Junqin Huang. 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 Junqin Huang. The network helps show where Junqin Huang may publish in the future.
Co-authorship network of co-authors of Junqin Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Junqin Huang. A scholar is included among the top collaborators of Junqin Huang 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 Junqin Huang. Junqin Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | Edge-computing-driven Internet of Things: A Surveybreakdown → | 145 |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 69 | |
| 11 | Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanismbreakdown → | 416 |
| 12 | 32 | |
| 13 | 75 | |
| 14 | [The Role of c-fos in the Production of Follicle-Stimulating Hormone and the Related Signal Transduction Pathways]. | 1 |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 196 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | Magnet-sensitive solid-state transducers with new elements | 0 |
About Junqin Huang
Junqin Huang is a scholar working on Computer Science Applications, Information Systems and Computer Networks and Communications, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (10 papers), Privacy-Preserving Technologies in Data (5 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Information Systems (595 citations), Computer Networks and Communications (494 citations) and Computer Science Applications (64 citations). Junqin Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Linghe Kong, Guihai Chen, Peng Zeng, Xue Liu, Min‐You Wu, Xi Jin, Muhammad Khurram Khan, Yue Li, Ruijin Wang and Long Cheng. Their work appears in journals such as Molecules, ACM Computing Surveys and Applied Thermal Engineering.
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.