Manxi Lin

420 total citations · 1 hit paper
7 papers, 273 citations indexed

About

Manxi Lin is a scholar working on Pediatrics, Perinatology and Child Health, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manxi Lin has authored 7 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manxi Lin's work include Fetal and Pediatric Neurological Disorders (2 papers), Engineering Diagnostics and Reliability (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Manxi Lin is often cited by papers focused on Fetal and Pediatric Neurological Disorders (2 papers), Engineering Diagnostics and Reliability (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Manxi Lin collaborates with scholars based in Denmark, China and Singapore. Manxi Lin's co-authors include Jun Wu, Yiwei Cheng, Haiping Zhu, Xinyu Shao, Yaqiong Lv, Anders Nymark Christensen, Morten Bo Søndergaard Svendsen, Aasa Feragen, Martin Fabricius and C. B. Wulff and has published in prestigious journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and IEEE Transactions on Medical Imaging.

In The Last Decade

Manxi Lin

5 papers receiving 264 citations

Hit Papers

align trajectories

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.

Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

2021 259 citations Yiwei Cheng, Manxi Lin et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manxi Lin Denmark	3	226	132	96	30	21	7	273
Jinghui Tian China	8	240 1.1×	119 0.9×	57 0.6×	88 2.9×	19 0.9×	10	310
Ali Dibaj Iran	5	302 1.3×	208 1.6×	131 1.4×	32 1.1×	35 1.7×	8	358
Mir Biuok Ehghaghi Iran	5	267 1.2×	190 1.4×	122 1.3×	27 0.9×	31 1.5×	8	334
Minqiang Deng China	11	347 1.5×	171 1.3×	115 1.2×	106 3.5×	21 1.0×	26	404
Renhe Yao China	8	286 1.3×	172 1.3×	85 0.9×	53 1.8×	38 1.8×	19	326
Shuzhi Dong China	10	332 1.5×	193 1.5×	102 1.1×	63 2.1×	25 1.2×	13	387
Xisheng Jia China	9	143 0.6×	69 0.5×	56 0.6×	22 0.7×	18 0.9×	25	197
Xun Dong China	5	230 1.0×	120 0.9×	65 0.7×	53 1.8×	12 0.6×	8	288
Feiyu Lu China	11	239 1.1×	99 0.8×	62 0.6×	61 2.0×	18 0.9×	26	297
Hyungdae Lee United States	6	216 1.0×	186 1.4×	87 0.9×	14 0.5×	41 2.0×	12	324

Countries citing papers authored by Manxi Lin

Since Specialization

Citations

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

Fields of papers citing papers by Manxi Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manxi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Manxi Lin. A scholar is included among the top collaborators of Manxi Lin 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 Manxi Lin. Manxi Lin 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:

7 of 7 papers shown

1.

Lin, Manxi, C. B. Wulff, Anders Nymark Christensen, et al.. (2025). The combined use of cervical ultrasound and deep learning improves the detection of patients at risk for spontaneous preterm delivery. American Journal of Obstetrics and Gynecology. 234(1). 172–194.

2.

Lin, Manxi, Aasa Feragen, Anders Nymark Christensen, et al.. (2025). Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation. Scientific Reports. 15(1). 2074–2074. 1 indexed citations

3.

Christensen, Anders Nymark, Aasa Feragen, Olav Bjørn Petersen, et al.. (2025). Predicting abnormal fetal growth using deep learning. npj Digital Medicine. 8(1). 318–318. 1 indexed citations

4.

Lin, Manxi, Morten Bo Søndergaard Svendsen, Mads Nielsen, et al.. (2024). Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. Research at the University of Copenhagen (University of Copenhagen). 1–5.

5.

Zhang, Jingyang, et al.. (2024). S²Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR. IEEE Transactions on Medical Imaging. 44(1). 361–372. 2 indexed citations

6.

Wu, Jun, Manxi Lin, Yaqiong Lv, & Yiwei Cheng. (2022). Intelligent fault diagnosis of rolling bearings based on clustering algorithm of fast search and find of density peaks. Quality Engineering. 35(3). 399–412. 10 indexed citations

7.

Cheng, Yiwei, Manxi Lin, Jun Wu, Haiping Zhu, & Xinyu Shao. (2021). Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network. Knowledge-Based Systems. 216. 106796–106796. 259 indexed citations breakdown →

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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