Cong Xu

94 papers receiving 3.8k citations

Cong Xu's Hit Papers

NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory 2012 · 957 citations
9570+4+9Years since publication250500750

Peers

Cong Xu
Comparison fields: 5 of 88
  • Hardware and Architecture 1.0k
  • Computer Networks and Communications 1.2k
  • Computer Vision and Pattern Recognition 612
  • Electrical and Electronic Engineering 1.5k
  • Aerospace Engineering 613
Replace Li‐Wen Chang with:
Li‐Wen Chang United States
Meng‐Fan Chang Taiwan
Saibal Mukhopadhyay United States
Arun Subramaniyan United States
Sung Kyu Lim United States
Said F. Al-Sarawi Australia
Arijit Raychowdhury United States
Mircea R. Stan United States
Cong Xu China
Koji Nakano Japan
Cong Xu relative to Li‐Wen Chang United States Li‐Wen Chang's profile →
Citations per field
00.5×9.6×
Li‐Wen Chang · 1×
Citations per year

Countries citing papers authored by Cong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory
Hit paper breakdown →
2012957
2 2015264
3 2016178
4 2020160
5 2020120
6 2015116
7 2015106
8 2013101
9 201499
10 201287
11 201787
12 201483
13 202078
14 201276
15 202064
16 202160
17 201958
18 202357
19
vTurbo: accelerating virtual machine I/O processing using designated turbo-sliced core
201352
20 201447

About Cong Xu

Cong Xu is a scholar working on Computer Networks and Communications, Information Systems, Mechanical Engineering, Hardware and Architecture and Aerospace Engineering, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (24 papers), Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (24 papers), Aluminum Alloy Microstructure Properties (21 papers), Aluminum Alloys Composites Properties (21 papers), Microstructure and mechanical properties (13 papers), Advanced Memory and Neural Computing (11 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Hardware and Architecture (1.0k citations), Computer Networks and Communications (1.2k citations), Computer Vision and Pattern Recognition (612 citations), Electrical and Electronic Engineering (1.5k citations) and Aerospace Engineering (613 citations). Cong Xu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuan Xie, Norman P. Jouppi, Xiangyu Dong, Chunhua Wang, Wenlong Xiao, Chaoli Ma, Dimin Niu, Naveen Muralimanohar, Shuji Hanada and Hiroshi Yamagata. Their work appears in journals such as Materials Science and Engineering A, Journal of Materials Research and Technology, Multimedia Tools and Applications, Applied Sciences and Materials Characterization.

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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