Zhenming Liu

1.8k citations
38 papers · 1.1k indexed · 2 hit papers · h-index 12
Topics
Recommender Systems and Techniques (6 papers)Complex Network Analysis Techniques (5 papers)Advanced Bandit Algorithms Research (4 papers)

In The Last Decade

Zhenming Liu

35 papers receiving 1.1k citations

Hit Papers

DeepDecision: A Mobile Deep Learning Framework for Ed...201320262017202120182013100200300

Peers

Zhenming Liu
Comparison fields: 5 of 96
  • Computer Networks and Communications 573
  • Computer Vision and Pattern Recognition 273
  • Statistical and Nonlinear Physics 239
  • Artificial Intelligence 209
  • Information Systems 170
Replace Arijit Khan with:
Arijit Khan Singapore
Mohammad Abdollahi Azgomi Iran
Ali Dasdan United States
Lidan Shou China
Sibo Wang China
Weining Qian China
Yuanyuan Tian United States
Chi‐Hung Chi China
Jinpeng Huai China
Qirong Ho United States
Zhenming Liu relative to Arijit Khan Singapore Arijit Khan's profile →
Citations per field
00.5×1.5×
Arijit Khan · 1×
Citations per year

Countries citing papers authored by Zhenming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenming Liu. A scholar is included among the top collaborators of Zhenming Liu 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 Zhenming Liu. Zhenming Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 5
6 7
7 3
8 29
9
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers.
11
10 8
11 11
12
DeepDecision: A Mobile Deep Learning Framework for Edge Video Analyticsbreakdown →
309
13 19
14 4
15
Statistically-secure ORAM with Õ(log 2 n) Overhead.
9
16 25
17 7
18 8
19 226
20 24

About Zhenming Liu

Zhenming Liu is a scholar working on Management Science and Operations Research, Information Systems and Complementary and Manual Therapy, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Complex Network Analysis Techniques (5 papers) and Advanced Bandit Algorithms Research (4 papers). The work is most often cited by research in Computer Networks and Communications (573 citations), Statistical and Nonlinear Physics (239 citations) and Hardware and Architecture (103 citations). Zhenming Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaodan Zhu, Jiasi Chen, Xukan Ran, Nanxi Kang, Jennifer Rexford, David Walker, Hui Zhao, Wei Chen, Yajun Wang and Xiaorui Sun. Their work appears in journals such as IEEE/ACM Transactions on Networking, Energies and Production and Operations Management.

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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