Kian Ming Lim

2.8k total citations · 2 hit papers
113 papers, 1.6k citations indexed

About

Kian Ming Lim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Kian Ming Lim has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 23 papers in Human-Computer Interaction. Recurrent topics in Kian Ming Lim's work include Hand Gesture Recognition Systems (22 papers), Human Pose and Action Recognition (20 papers) and Gait Recognition and Analysis (14 papers). Kian Ming Lim is often cited by papers focused on Hand Gesture Recognition Systems (22 papers), Human Pose and Action Recognition (20 papers) and Gait Recognition and Analysis (14 papers). Kian Ming Lim collaborates with scholars based in Malaysia, Saudi Arabia and China. Kian Ming Lim's co-authors include Chin Poo Lee, Kalaiarasi Sonai Muthu Anbananthen, Alan W.C. Tan, Shing Chiang Tan, Ali Alqahtani, Lee Chung Kwek, Tee Connie, Cheng-Yaw Low, Kalaiarasi Sonai Muthu and Mohammed Ali and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Kian Ming Lim

99 papers receiving 1.5k citations

Hit Papers

RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With ... 2022 2026 2023 2024 2022 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network
    2022 167 citations Chin Poo Lee, Kian Ming Lim et al. IEEE Access profile →
  2. A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research
    2023 88 citations Chin Poo Lee, Kian Ming Lim et al. Applied Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kian Ming Lim Malaysia 24 636 572 350 283 136 113 1.6k
Chin Poo Lee Malaysia 25 704 1.1× 590 1.0× 328 0.9× 359 1.3× 95 0.7× 117 1.7k
Adnan Khashman Cyprus 21 496 0.8× 527 0.9× 213 0.6× 134 0.5× 75 0.6× 71 1.6k
Krishan Kumar India 25 914 1.4× 431 0.8× 156 0.4× 111 0.4× 82 0.6× 112 2.1k
Cecilio Ángulo Spain 23 475 0.7× 512 0.9× 136 0.4× 160 0.6× 31 0.2× 130 1.4k
Ahmed M. Helmi Egypt 19 429 0.7× 370 0.6× 184 0.5× 168 0.6× 45 0.3× 42 1.2k
Mohammad A. M. Abushariah Jordan 16 270 0.4× 942 1.6× 115 0.3× 100 0.4× 39 0.3× 45 1.4k
Jin-Hyuk Hong South Korea 20 480 0.8× 349 0.6× 151 0.4× 102 0.4× 29 0.2× 80 1.6k
Phivos Mylonas Greece 18 451 0.7× 376 0.7× 73 0.2× 55 0.2× 54 0.4× 176 1.2k
Sangyoun Lee South Korea 26 1.4k 2.2× 390 0.7× 166 0.5× 259 0.9× 24 0.2× 157 2.1k
Saroj Kr. Biswas India 19 267 0.4× 756 1.3× 85 0.2× 87 0.3× 45 0.3× 108 1.6k

Countries citing papers authored by Kian Ming Lim

Since Specialization
Citations

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

Fields of papers citing papers by Kian Ming Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kian Ming Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Kian Ming Lim. A scholar is included among the top collaborators of Kian Ming Lim 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 Kian Ming Lim. Kian Ming Lim 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
1.
Lim, Kian Ming, et al.. (2025). A review of few-shot fine-grained image classification. Expert Systems with Applications. 275. 127054–127054.
2.
Lim, Kian Ming, et al.. (2025). A review of few-shot image classification: Approaches, datasets and research trends. Neurocomputing. 649. 130774–130774.
3.
Lim, Kian Ming, et al.. (2024). PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition. IEEE Access. 12. 79327–79341. 10 indexed citations
4.
Lim, Yu Jie, et al.. (2024). KDViT: COVID-19 diagnosis on CT-scans with knowledge distillation of vision transformer. Automatika. 65(3). 1113–1126.
5.
Lee, Chin Poo, et al.. (2024). Multilingual Question Answering for Malaysia History with Transformer-based Language Model. Emerging Science Journal. 8(2). 675–686. 3 indexed citations
6.
7.
Lee, Chin Poo, et al.. (2024). LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest. PLoS ONE. 19(4). e0298699–e0298699. 4 indexed citations
8.
Lim, Kian Ming, et al.. (2023). Fine-Tuned Temporal Dense Sampling with 1D Convolutional Neural Network for Human Action Recognition. Sensors. 23(11). 5276–5276. 2 indexed citations
9.
Lee, Chin Poo, et al.. (2023). A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research. Applied Sciences. 13(7). 4550–4550. 88 indexed citations breakdown →
10.
Lim, Kian Ming, et al.. (2023). EnViTSA: Ensemble of Vision Transformer with SpecAugment for Acoustic Event Classification. Sensors. 23(22). 9084–9084. 8 indexed citations
11.
Lee, Chin Poo, et al.. (2023). Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer. Plants. 12(14). 2642–2642. 38 indexed citations
12.
Lim, Kian Ming, et al.. (2023). SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning. Expert Systems with Applications. 238. 122173–122173. 42 indexed citations
13.
Lim, Kian Ming, et al.. (2023). HGR-ResNet: Hand Gesture Recognition with Enhanced Residual Neural Network. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 44. 131–136. 1 indexed citations
14.
Lim, Kian Ming, et al.. (2023). SCL: Self-supervised contrastive learning for few-shot image classification. Neural Networks. 165. 19–30. 32 indexed citations
15.
Lee, Chin Poo, et al.. (2023). Text-to-image synthesis with self-supervised bi-stage generative adversarial network. Pattern Recognition Letters. 169. 43–49. 7 indexed citations
16.
Lee, Chin Poo, et al.. (2023). Wearable sensor-based human activity recognition with ensemble learning: a comparison study. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(4). 4029–4029. 4 indexed citations
17.
Lee, Chin Poo, et al.. (2023). Facial Expression Recognition with Machine Learning. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 125–130. 1 indexed citations
18.
Lee, Chin Poo, et al.. (2023). RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis. Applied Sciences. 13(6). 3915–3915. 55 indexed citations
19.
Lee, Chin Poo, et al.. (2022). Hand Gesture Recognition via Lightweight VGG16 and Ensemble Classifier. Applied Sciences. 12(15). 7643–7643. 30 indexed citations
20.
Lim, Kian Ming, et al.. (2021). Autonomous and Deterministic Supervised Fuzzy Clustering. Figshare. 1 indexed citations

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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