Limin Su

415 total citations
13 papers, 293 citations indexed

About

Limin Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Limin Su has authored 13 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Biomedical Engineering. Recurrent topics in Limin Su's work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Educational Technology and Assessment (2 papers). Limin Su is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Educational Technology and Assessment (2 papers). Limin Su collaborates with scholars based in China, United States and Macao. Limin Su's co-authors include Shuang Li, Zhengming Ding, Chi Harold Liu, Gao Huang, Binhui Xie, Qi Wen, Qiuxia Lin, Dapeng Wu, C. L. Philip Chen and Huan Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physics of Fluids and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Limin Su

11 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Limin Su China	5	226	135	27	27	25	13	293
Jafar Tahmoresnezhad Iran	10	232 1.0×	104 0.8×	27 1.0×	21 0.8×	41 1.6×	30	301
Tong Che Algeria	7	199 0.9×	140 1.0×	12 0.4×	13 0.5×	13 0.5×	9	268
Dapeng Hu China	5	295 1.3×	224 1.7×	20 0.7×	13 0.5×	28 1.1×	6	382
Rakesh Kumar Sanodiya India	10	169 0.7×	94 0.7×	19 0.7×	12 0.4×	18 0.7×	38	245
Pau Panareda Busto Germany	4	334 1.5×	290 2.1×	31 1.1×	17 0.6×	43 1.7×	5	444
Hongzu Su China	8	261 1.2×	177 1.3×	11 0.4×	8 0.3×	28 1.1×	15	331
Pengfei Ge China	9	280 1.2×	240 1.8×	24 0.9×	13 0.5×	34 1.4×	10	387
Bo Fu China	9	109 0.5×	163 1.2×	13 0.5×	14 0.5×	7 0.3×	22	301
Qianfen Jiao China	6	312 1.4×	298 2.2×	10 0.4×	10 0.4×	33 1.3×	12	438
Yabin Zhang China	5	307 1.4×	252 1.9×	10 0.4×	9 0.3×	40 1.6×	10	374

Countries citing papers authored by Limin Su

Since Specialization

Citations

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

Fields of papers citing papers by Limin Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Limin Su. A scholar is included among the top collaborators of Limin Su 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 Limin Su. Limin Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Chen, Hao, et al.. (2025). Multi-Modal Reference Learning for Fine-Grained Text-to-Image Retrieval. IEEE Transactions on Multimedia. 27. 5009–5022.

2.

Fang, Lide, et al.. (2024). Design of an ultrasonic flowmeter using a cow horn-shaped structure and secretary bird optimization algorithm-back propagation neural network algorithm. Physics of Fluids. 36(12). 1 indexed citations

3.

Su, Limin, et al.. (2021). Balanced Discriminative Transfer Feature Learning for Visual Domain Adaptation. ZTE communications. 18(4). 78–83.

4.

Yang, Xiaohui, et al.. (2021). Adaptive factorization rank selection-based NMF and its application in tumor recognition. International Journal of Machine Learning and Cybernetics. 12(9). 2673–2691. 3 indexed citations

5.

Li, Shuang, Chi Harold Liu, Qiuxia Lin, et al.. (2020). Deep Residual Correction Network for Partial Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(7). 2329–2344. 114 indexed citations

6.

Li, Shuang, Chi Harold Liu, Limin Su, et al.. (2020). Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4842–4856. 66 indexed citations

7.

Li, Shuang, Chi Harold Liu, Binhui Xie, et al.. (2019). Joint Adversarial Domain Adaptation. IUScholarWorks (Indiana University). 729–737. 85 indexed citations

8.

Niu, Jianwei, et al.. (2017). Multi-document abstractive summarization using chunk-graph and recurrent neural network. 1–6. 11 indexed citations

9.

Wang, Yaowei, et al.. (2015). Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories. 39. 128–135. 3 indexed citations

10.

Zhang, Yunfei, Bo Lü, & Limin Su. (2012). Multi-recognition algorithms of human's mental fatigue state based on EEG. 39. 1180–1184. 2 indexed citations

11.

Su, Limin. (2005). Design and Realization of a Network Fault Diagnosing Expert System Based on Genetic Algorithm. Journal of Beijing Institute of Technology. 1 indexed citations

12.

Su, Limin, et al.. (2003). A niching negative selective genetic algorithm for self-nonself discrimination in a computer. 1. 276–280. 5 indexed citations

13.

Su, Limin, et al.. (2003). Research on an improved genetic algorithm based knowledge acquisition. 1. 455–458. 2 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.

Explore authors with similar magnitude of impact