Jinlian Ma

706 total citations
16 papers, 524 citations indexed

About

Jinlian Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinlian Ma has authored 16 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jinlian Ma's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Jinlian Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Jinlian Ma collaborates with scholars based in China. Jinlian Ma's co-authors include Fa Wu, Jiang Zhu, De-Xing Kong, Tianan Jiang, Dexing Kong, Dong Xu, Qiyu Zhao, Yingying Li, Yaguan Qian and Dan Long and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and Applied Soft Computing.

In The Last Decade

Jinlian Ma

14 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinlian Ma China	7	355	296	181	82	63	16	524
Dexing Kong China	14	381 1.1×	211 0.7×	104 0.6×	62 0.8×	133 2.1×	54	664
Shujun Liang China	9	309 0.9×	182 0.6×	63 0.3×	58 0.7×	105 1.7×	20	467
DM Anisuzzaman United States	10	107 0.3×	127 0.4×	200 1.1×	24 0.3×	84 1.3×	19	493
Stavros Tsantis Greece	13	294 0.8×	164 0.6×	73 0.4×	23 0.3×	58 0.9×	23	569
Hung N. Pham Vietnam	8	120 0.3×	145 0.5×	22 0.1×	63 0.8×	57 0.9×	19	365
Harshawn Malhi United States	10	196 0.6×	78 0.3×	72 0.4×	14 0.2×	42 0.7×	14	439
Natascha Claudia D’Amico Italy	7	305 0.9×	198 0.7×	12 0.1×	80 1.0×	53 0.8×	10	538
Keewon Shin South Korea	9	199 0.6×	122 0.4×	15 0.1×	58 0.7×	56 0.9×	21	455
Abhilash Rakkunedeth Hareendranathan Canada	13	165 0.5×	88 0.3×	37 0.2×	78 1.0×	51 0.8×	62	518
Gilbert Lim Singapore	16	1.1k 3.2×	156 0.5×	24 0.1×	150 1.8×	239 3.8×	33	1.4k

Countries citing papers authored by Jinlian Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jinlian Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlian Ma

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

All Works

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16 of 16 papers shown

Sun, Guangchao, et al.. (2025). Tunable and Silicon-Compatible Memristive Devices Based on a Perovskite Nickelate System for Electrocardiogram Pattern Recognition. ACS Applied Electronic Materials. 7(15). 7255–7264.

Liu, Meng, Mengting Sun, Qing Li, et al.. (2024). Integrating Multi-Organ Imaging-Derived Phenotypes and Genomic Information for Predicting the Occurrence of Common Diseases. Bioengineering. 11(9). 872–872.

Hou, Fan Fan, et al.. (2024). Assessing the Severity of Connective Tissue-Related Interstitial Lung Disease Using Computed Tomography Quantitative Analysis Parameters. Journal of Computer Assisted Tomography. 49(3). 448–455. 1 indexed citations

Ma, Jinlian, et al.. (2023). JANet: A joint attention network for balancing accuracy and speed in left ventricular ultrasound video segmentation. Computers in Biology and Medicine. 169. 107856–107856. 3 indexed citations

Ma, Jinlian, et al.. (2023). Res-DUnet: A small-region attentioned model for cardiac MRI-based right ventricular segmentation. Applied Soft Computing. 136. 110060–110060. 5 indexed citations

Ma, Jinlian, Dexing Kong, Fa Wu, et al.. (2023). Densely connected convolutional networks for ultrasound image based lesion segmentation. Computers in Biology and Medicine. 168. 107725–107725. 5 indexed citations

Liu, Feng, et al.. (2023). Performance of iCare quantitative computed tomography in bone mineral density assessment of the hip and vertebral bodies in European spine phantom. Journal of Orthopaedic Surgery and Research. 18(1). 777–777. 1 indexed citations

Li, Yingying, et al.. (2022). Mammogram classification based on a novel convolutional neural network with efficient channel attention. Computers in Biology and Medicine. 150. 106082–106082. 21 indexed citations

Ma, Jinlian, et al.. (2021). Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 17(2). 363–372. 8 indexed citations

10.

Wu, Fa, et al.. (2020). Pulmonary nodule detection using hybrid two‐stage 3D CNNs. Medical Physics. 47(8). 3376–3388. 15 indexed citations

11.

Ma, Jinlian, et al.. (2018). Deep Learning Models for Segmentation of Lesion Based on Ultrasound Images. SHILAP Revista de lepidopterología. 2(2). 82–82. 5 indexed citations

12.

Ma, Jinlian, Jinyu Li, Panpan Ye, et al.. (2018). Multifractal and lacunarity analyses of microvascular morphology in eyes with diabetic retinopathy: A projection artifact resolved optical coherence tomography angiography study. Microcirculation. 26(3). e12519–e12519. 12 indexed citations

13.

Ma, Jinlian, Fa Wu, Tianan Jiang, Jiang Zhu, & De-Xing Kong. (2017). Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images. Medical Physics. 44(5). 1678–1691. 103 indexed citations

14.

Ma, Jinlian, Fa Wu, Tianan Jiang, Qiyu Zhao, & De-Xing Kong. (2017). Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery. 12(11). 1895–1910. 137 indexed citations

15.

Tang, Donghui, Jinlian Ma, Peijun Hu, et al.. (2017). The effect of short cardio on inhibitory control ability of obese people. International Journal of Imaging Systems and Technology. 27(4). 345–353. 2 indexed citations

16.

Ma, Jinlian, Fa Wu, Jiang Zhu, Dong Xu, & Dexing Kong. (2016). A pre-trained convolutional neural network based method for thyroid nodule diagnosis. Ultrasonics. 73. 221–230. 206 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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