Johan Lim

2.4k citations
146 papers · 1.7k · h-index 23

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Probabilistic and Robust Engineering Design
    • Advanced Statistical Process Monitoring

Papers in

    • Statistical Methods and Inference 36
    • Statistical Methods and Bayesian Inference 25
    • Advanced Statistical Methods and Models 25
    • Statistical Distribution Estimation and Applications 15
    • Gene expression and cancer classification 18
    • Metabolomics and Mass Spectrometry Studies 13

Johan Lim

130 papers receiving 1.6k citations

Peers

Johan Lim
Comparison fields: 5 of 169
  • Statistics and Probability 433
  • Statistics, Probability and Uncertainty 157
  • Biochemistry 66
  • Cancer Research 114
  • Orthodontics 32
Replace Naisyin Wang with:
Naisyin Wang United States
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Jayant V. Deshpandé India
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Paul D. McNicholas Canada
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Johan Lim relative to Naisyin Wang United States Naisyin Wang's profile →
Citations per field
00.5×
Naisyin Wang · 1×
Citations per year

Countries citing papers authored by Johan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Johan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 2017100
3 201675
4 201074
5 201070
6 201352
7 201148
8 200844
9 200642
10 201542
11 201941
12 202241
13 200738
14 201638
15 201938
16 201135
17 201934
18 200032
19 201131
20 201628

About Johan Lim

Johan Lim is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 146 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (25 papers), Advanced Statistical Methods and Models (25 papers), Bayesian Methods and Mixture Models (20 papers), Gene expression and cancer classification (18 papers), Statistical Distribution Estimation and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Advanced Statistical Process Monitoring (11 papers). The work is most often cited by research in Statistics and Probability (433 citations), Statistics, Probability and Uncertainty (157 citations), Biochemistry (66 citations), Cancer Research (114 citations) and Orthodontics (32 citations). Johan Lim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Xinlei Wang, Sung Won Kwon, Jeong Hill Park, Donghyeon Yu, Jeongmi Lee, Lynne Stokes, Joong‐Ho Won, Soohyun Ahn, Seung-Jean Kim and Bala Rajaratnam. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Statistical Planning and Inference, Scientific Reports, PLoS ONE and Journal of Statistical Computation and Simulation.

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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