Cheng Luo

1.8k total citations
100 papers, 982 citations indexed

About

Cheng Luo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Luo has authored 100 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 23 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Luo's work include Advanced Neural Network Applications (10 papers), Data Management and Algorithms (10 papers) and Information Retrieval and Search Behavior (9 papers). Cheng Luo is often cited by papers focused on Advanced Neural Network Applications (10 papers), Data Management and Algorithms (10 papers) and Information Retrieval and Search Behavior (9 papers). Cheng Luo collaborates with scholars based in China, United States and Australia. Cheng Luo's co-authors include Huang Yuan, Shaoping Ma, Linlin Shen, Min Zhang, Jinheng Xie, Yiqun Liu, Xiaowei Huang, Jiaxin Mao, Wen‐Chi Hou and Wei Cao and has published in prestigious journals such as Acta Materialia, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Cheng Luo

86 papers receiving 964 citations

Peers

Cheng Luo
Comparison fields: 5 of 109
  • Artificial Intelligence 372
  • Computer Vision and Pattern Recognition 243
  • Information Systems 209
  • Mechanical Engineering 195
  • Computer Networks and Communications 176
Replace Yanchao Zhao with:
Yanchao Zhao China
Zhang Li China
Zhengzhang Chen United States
Seokhoon Kim South Korea
Yong Guan United States
Yong Zhuang United States
Harsh Kumar Verma India
N. Taylor United Kingdom
Xiaoyong Liu China
Yau-Hwang Kuo Taiwan
Yanchao Zhao China View profile →
Citations per field, relative to Cheng Luo
Cheng Luo · 1×
Citations per year, relative to Cheng Luo
Cheng Luo · 1×

Countries citing papers authored by Cheng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Luo. A scholar is included among the top collaborators of Cheng Luo 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 Cheng Luo. Cheng Luo 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
# Work Indexed citations
1 0
2 6
3 0
4 1
5 0
6 1
7 6
8 0
9 5
10 6
11 5
12 4
13 29
14 8
15 39
16
THUSAM at NTCIR-11 IMine Task
1
17 15
18 1
19 8
20
Grid File for Efficient Data Cube Storage.
1

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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