C.H. Lie

13 papers receiving 778 citations

Peers

C.H. Lie
Comparison fields: 5 of 65
  • Safety, Risk, Reliability and Quality 445
  • Statistics, Probability and Uncertainty 209
  • Software 24
  • Control and Systems Engineering 112
  • Computational Theory and Mathematics 50
Replace IGOR O. KOZINE with:
IGOR O. KOZINE Denmark
A. Srividya India
Charles E. Ebeling United States
F.F. Goldberg United States
Enno Ruijters Netherlands
Mohamed Sallak France
Martin D. Walker United Kingdom
Vasiliy V. Krivtsov United States
Mohamed Ghazel France
Suprasad V. Amari United States
C.H. Lie relative to IGOR O. KOZINE Denmark IGOR O. KOZINE's profile →
Citations per field
00.5×2×3.5×
IGOR O. KOZINE · 1×
Citations per year

Countries citing papers authored by C.H. Lie

Since Specialization
Citations

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

Fields of papers citing papers by C.H. Lie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.H. Lie. 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 C.H. Lie. The network helps show where C.H. Lie may publish in the future.

Co-authors

The 8 scholars most cited alongside C.H. Lie, 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 C.H. Lie Line = papers co-authored together C.H. Lie links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1985545
2 197785
3 199656
4 200241
5 200027
6 197823
7 197921
8 200012
9 19769
10 20098
11 20127
12 20082
13 20061
14
Predictive Location Management Strategy Using Two Directional Consecutive LAs in a Cellular Network
20081
15
Overflow Probability Analysis and Bandwidth Allocation for Traffic Regulated by Dual Leaky Bucket
19990

About C.H. Lie

C.H. Lie is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Computer Networks and Communications, Electrical and Electronic Engineering and Nuclear Energy and Engineering, having authored 15 papers that have together received 838 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (11 papers), Risk and Safety Analysis (2 papers), Wireless Communication Networks Research (2 papers), IPv6, Mobility, Handover, Networks, Security (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (445 citations), Statistics, Probability and Uncertainty (209 citations), Software (24 citations), Control and Systems Engineering (112 citations) and Computational Theory and Mathematics (50 citations). C.H. Lie has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Frank A. Tillman, Doris Lloyd Grosh, C. L. Hwang, Jung-Sik Hong, Wei Wei, Jun-Ho Park, Woojin Chang and Joonhwan Kim. Their work appears in journals such as IEEE Transactions on Reliability, Reliability Engineering & System Safety, European Journal of Operational Research, IEICE Transactions on Communications and Asia Pacific Journal of Operational Research.

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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