Li Chang

92 papers receiving 879 citations

Peers

Li Chang
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 807
  • Computer Networks and Communications 764
  • Control and Systems Engineering 75
  • Artificial Intelligence 71
  • Computer Vision and Pattern Recognition 40
Replace Hung‐Yun Hsieh with:
Hung‐Yun Hsieh Taiwan
Zhong Yang China
Mohamad Khattar Awad Kuwait
Cristina Cano Spain
Canhuang Dai China
Qingguo Lü China
Yanxiao Zhao United States
Yuji Oie Japan
Guido R. Hiertz Germany
Akshay Kashyap United States
Li Chang relative to Hung‐Yun Hsieh Taiwan Hung‐Yun Hsieh's profile →
Citations per field
00.5×3.4×
Hung‐Yun Hsieh · 1×
Citations per year

Countries citing papers authored by Li Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Chang. A scholar is included among the top collaborators of Li Chang 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 Li Chang. Li Chang 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 0
2 1
3 1
4 1
5 1
6 14
7 39
8 7
9 31
10 3
11 1
12
The Study of Multiple Attribute Decision Making Based on Bi-objective Combined Weights Model
3
13
Research on SCADA State Estimation Enhanced by WAMS in Guangdong Power Grid
1
14 1
15 5
16 2
17 4
18 36
19
STUDY ON VOLCANIC RESERVOIR MODELING
2
20
Error protection for ATM-based wireless networking systems
1

About Li Chang

Li Chang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Fuel Technology, having authored 112 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wireless Communication Networks Research (55 papers), Advanced Wireless Communication Techniques (38 papers) and Advanced Wireless Network Optimization (22 papers). The work is most often cited by research in Computer Networks and Communications (764 citations), Electrical and Electronic Engineering (807 citations) and Control and Systems Engineering (75 citations). Li Chang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include S. Ariyavisitakul, J.C.-I. Chuang, N.R. Sollenberger, A.R. Noerpel, Xiaoxin Qiu, Zhimei Jiang, N.K. Shankaranarayanan, K. Chawla, H. W. Arnold and Yanan Wu. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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