Tianqi Wang
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 5%
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Advanced Memory and Neural Computing (7 papers)Advanced Neural Network Applications (7 papers)
- Journals
- Monthly Notices of the Royal Astronomical SocietyIEEE Transactions on Parallel and Distributed SystemsACM Transactions on Sensor Networks
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tianqi Wang
41 papers receiving 822 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Electrical and Electronic Engineering 502
- Artificial Intelligence 377
- Computer Networks and Communications 252
- Computer Vision and Pattern Recognition 180
- Hardware and Architecture 111
Countries citing papers authored by Tianqi Wang
This map shows the geographic impact of Tianqi Wang'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 Tianqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianqi Wang more than expected).
Fields of papers citing papers by Tianqi Wang
This network shows the impact of papers produced by Tianqi Wang. 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 Tianqi Wang. The network helps show where Tianqi Wang may publish in the future.
Co-authorship network of co-authors of Tianqi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tianqi Wang. A scholar is included among the top collaborators of Tianqi Wang 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 Tianqi Wang. Tianqi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. | 5 |
| 8 | Deep Hierarchical Knowledge Tracing | 12 |
| 9 | 31 | |
| 10 | 25 | |
| 11 | 59 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 62 | |
| 19 | 12 | |
| 20 | A Grid-enabled Multi-server Network Game Architecture. | 3 |
About Tianqi Wang
Tianqi Wang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 854 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Memory and Neural Computing (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Artificial Intelligence (377 citations) and Computer Networks and Communications (252 citations). Tianqi Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chao-Kai Wen, Hanqing Wang, Feifei Gao, Tao Jiang, Shi Jin, Martin Herbordt, Tong Geng, Chen Yang, Ahmed Sanaullah and Rushi Patel. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Sensor Networks.
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.