Bo Ni

406 total citations
29 papers, 245 citations indexed

About

Bo Ni is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bo Ni has authored 29 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bo Ni's work include AI in cancer detection (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Advanced Neural Network Applications (3 papers). Bo Ni is often cited by papers focused on AI in cancer detection (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Advanced Neural Network Applications (3 papers). Bo Ni collaborates with scholars based in China, United States and France. Bo Ni's co-authors include Philippe Ben‐Abdallah, Fazhi He, Zhiyong Yuan, Yiteng Pan, Qing‐Long Han, Xiantao Cai, Zhiyuan Liu, Michele Nappi, Shaohua Wan and Kaiyuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Applied Physics.

In The Last Decade

Bo Ni

26 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Ni China 10 46 34 33 31 29 29 245
Ronald L. Allen United States 7 64 1.4× 71 2.1× 33 1.0× 14 0.5× 40 1.4× 10 293
Abhay Kumar India 10 48 1.0× 119 3.5× 25 0.8× 23 0.7× 35 1.2× 56 340
Xiaolin Qin China 9 39 0.8× 55 1.6× 13 0.4× 16 0.5× 24 0.8× 64 276
Minghui Yang China 9 59 1.3× 110 3.2× 17 0.5× 5 0.2× 33 1.1× 25 278
Ke Sun China 10 46 1.0× 50 1.5× 21 0.6× 17 0.5× 50 1.7× 64 293
Barmak Honarvar Shakibaei Asli United Kingdom 12 168 3.7× 35 1.0× 21 0.6× 28 0.9× 39 1.3× 38 332
Lu Yin China 12 180 3.9× 19 0.6× 39 1.2× 14 0.5× 61 2.1× 35 418
Shuai He China 12 82 1.8× 27 0.8× 86 2.6× 16 0.5× 82 2.8× 40 544
Siyuan Lu China 7 83 1.8× 105 3.1× 5 0.2× 59 1.9× 26 0.9× 13 506
Xiaocen Chen China 12 37 0.8× 25 0.7× 50 1.5× 25 0.8× 17 0.6× 29 356

Countries citing papers authored by Bo Ni

Since Specialization
Citations

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

Fields of papers citing papers by Bo Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Ni. A scholar is included among the top collaborators of Bo Ni 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 Bo Ni. Bo Ni 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.
Wang, Kaiyuan, Yongfang Zhang, Hung‐Ya Tu, et al.. (2025). GPR37 Activation Alleviates Bone Cancer Pain via the Inhibition of Osteoclastogenesis and Neuronal Hyperexcitability. Advanced Science. 12(14). e2417367–e2417367. 3 indexed citations
2.
Yang, Hung‐Chih, et al.. (2025). Deep learning-enabled inverse design of polarization-selective structural color based on coding metasurface. Chinese Physics B. 34(5). 50702–50702.
3.
Tu, Hung‐Ya, et al.. (2024). Siglecs-mediated immune regulation in neurological disorders. Pharmacological Research. 210. 107531–107531. 2 indexed citations
4.
Cui, Jin, et al.. (2024). Epidemiological investigation of Senecavirus A infection in pig herds in China from 2018 to 2021. Frontiers in Veterinary Science. 11. 1391513–1391513. 2 indexed citations
5.
Xie, Yongjie, Tianxing Zhou, Xueyang Li, et al.. (2024). Targeting ESE3/EHF With Nifurtimox Inhibits CXCR2+ Neutrophil Infiltration and Overcomes Pancreatic Cancer Resistance to Chemotherapy and Immunotherapy. Gastroenterology. 167(2). 281–297. 18 indexed citations
6.
Wu, Liangliang, Yongjie Xie, Bo Ni, et al.. (2024). Revealing splenectomy-driven microRNA hsa-7b-5p’s role in pancreatic cancer progression. iScience. 27(3). 109045–109045.
7.
Ni, Bo, Yiqing Yin, Zekun Li, et al.. (2023). Crosstalk Between Peripheral Innervation and Pancreatic Ductal Adenocarcinoma. Neuroscience Bulletin. 39(11). 1717–1731. 11 indexed citations
8.
Li, Rui, Bo Ni, Gaoji Yang, et al.. (2023). Drying and Quality Characteristics of Whole Jujubes Subjected to Air Assisted Radio Frequency Heating. Journal of the ASABE. 66(5). 1057–1066. 2 indexed citations
9.
Wang, Xiuchao, Junjin Wang, Wei Xi, et al.. (2022). Preoperative ultrasound combined with routine blood tests in predicting the malignant risk of pancreatic cystic neoplasms. Cancer Biology and Medicine. 19(10). 1503–1516. 1 indexed citations
10.
Xie, Yongjie, Yang Liu, Guangming Li, et al.. (2022). Identification of DDX31 as a Potential Oncogene of Invasive Metastasis and Proliferation in PDAC. Frontiers in Cell and Developmental Biology. 10. 762372–762372. 2 indexed citations
11.
Lan, Chungen, Bo Ni, Tiansuo Zhao, et al.. (2022). An Integrative Pan-Cancer Analysis Revealing MLN4924 (Pevonedistat) as a Potential Therapeutic Agent Targeting Skp2 in YAP-Driven Cancers. Frontiers in Genetics. 13. 866702–866702. 3 indexed citations
12.
Pan, Feng, Bo Ni, Xiantao Cai, & Yutao Xie. (2022). UTransNet: Transformer within U-Net for Stroke Lesion Segmentation. 359–364. 4 indexed citations
13.
Ni, Bo, Zhiyuan Liu, Xiantao Cai, Michele Nappi, & Shaohua Wan. (2022). Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model. Neural Computing and Applications. 35(20). 14535–14549. 28 indexed citations
14.
Gao, Feng, Chenkun Qi, Xianchao Zhao, et al.. (2016). Hardware-in-the-loop simulation for the contact dynamic process of flying objects in space. Science China Technological Sciences. 59(8). 1167–1175. 11 indexed citations
15.
Ni, Bo, Fazhi He, Yiteng Pan, & Zhiyong Yuan. (2016). Using shapes correlation for active contour segmentation of uterine fibroid ultrasound images in computer-aided therapy. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 31(1). 37–52. 43 indexed citations
16.
Ni, Bo, Fazhi He, & Zhiyong Yuan. (2015). Segmentation of uterine fibroid ultrasound images using a dynamic statistical shape model in HIFU therapy. Computerized Medical Imaging and Graphics. 46. 302–314. 22 indexed citations
17.
Ben‐Abdallah, Philippe & Bo Ni. (2003). Radiance intensity enhanced by thin inhomogeneous lossy films. Journal of Quantitative Spectroscopy and Radiative Transfer. 84(1). 115–122. 1 indexed citations
18.
19.
Ben‐Abdallah, Philippe & Bo Ni. (2003). Radiative transfer in strongly lossy inhomogeneous thin films. Journal of Quantitative Spectroscopy and Radiative Transfer. 78(3-4). 481–488. 1 indexed citations
20.
Ni, Bo & Qing‐Long Han. (2001). On stability for a class of neutral delay-differential systems. 4544–4549 vol.6. 11 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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