Junli Gu

439 citations
14 papers · 314 · h-index 8

Impact in

Papers in

Junli Gu

14 papers receiving 302 citations

Peers

Junli Gu
Comparison fields: 5 of 40
  • Hardware and Architecture 225
  • Computer Networks and Communications 194
  • Information Systems 63
  • Computer Vision and Pattern Recognition 51
  • Electrical and Electronic Engineering 100
Replace H. S. Kim with:
H. S. Kim United States
Francesco Paterna Italy
Martin Rapp Germany
Muneeb Ali Pakistan
Christian Pinto Ireland
Cécile Belleudy France
Hyon‐Young Choi South Korea
Georgios P. Katsikas Sweden
Yifan Zhu United States
Sean White United States
Junli Gu relative to H. S. Kim United States H. S. Kim's profile →
Citations per field
00.5×10×20×28×
H. S. Kim · 1×
Citations per year

Countries citing papers authored by Junli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Junli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013101
2 201465
3 201339
4 201625
5
Implementing a leading loads performance predictor on commodity processors
201422
6 201920
7 201917
8 202413
9 20114
10 20252
11 20112
12 20142
13 20101
14 20111

About Junli Gu

Junli Gu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Interconnection Networks and Systems (7 papers), Advanced Data Storage Technologies (5 papers), Embedded Systems Design Techniques (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Low-power high-performance VLSI design (2 papers), Advanced Neural Network Applications (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Hardware and Architecture (225 citations), Computer Networks and Communications (194 citations), Information Systems (63 citations), Computer Vision and Pattern Recognition (51 citations) and Electrical and Electronic Engineering (100 citations). Junli Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhiying Wang, Joseph L. Greathouse, Li Shen, Jason Lowe-Power, Arkaprava Basu, Steven K. Reinhardt, David A. Wood, Bradford M. Beckmann, Wei Huang and Bo Su. Their work appears in journals such as Chemical Engineering Journal, IEEE Micro, Tsinghua Science & Technology, Separation and Purification Technology and ACM Transactions on Architecture and Code Optimization.

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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