Bo Cheng

1.2k total citations
22 papers, 881 citations indexed

About

Bo Cheng is a scholar working on Artificial Intelligence, Communication and Psychiatry and Mental health. According to data from OpenAlex, Bo Cheng has authored 22 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Communication and 4 papers in Psychiatry and Mental health. Recurrent topics in Bo Cheng's work include Domain Adaptation and Few-Shot Learning (7 papers), Dementia and Cognitive Impairment Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Bo Cheng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Dementia and Cognitive Impairment Research (4 papers) and Neonatal and fetal brain pathology (3 papers). Bo Cheng collaborates with scholars based in China, United States and South Korea. Bo Cheng's co-authors include Daoqiang Zhang, Dinggang Shen, Mingxia Liu, Minhong Wang, Guangyuan Liu, Biao Jie, Jun Peng, Brent C. Munsell, Neil Mercer and Kinshuk Kinshuk and has published in prestigious journals such as Computers & Education, IEEE Transactions on Biomedical Engineering and Human Brain Mapping.

In The Last Decade

Bo Cheng

21 papers receiving 831 citations

Peers

Bo Cheng
Aviv Segev Israel
Bo Cheng
Citations per year, relative to Bo Cheng Bo Cheng (= 1×) peers Aviv Segev

Countries citing papers authored by Bo Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bo Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Cheng. A scholar is included among the top collaborators of Bo Cheng 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 Cheng. Bo Cheng 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.
Cheng, Bo, et al.. (2021). Multi-auxiliary domain transfer learning for diagnosis of MCI conversion. Neurological Sciences. 43(3). 1721–1739. 9 indexed citations
2.
Han, Jiale, Bo Cheng, & Xu Wang. (2020). Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 34(10). 13801–13802. 1 indexed citations
3.
Zhao, Jianhui, et al.. (2018). Speech recognition algorithm based on neural network and hidden Markov model. 25(4). 28. 1 indexed citations
4.
Cheng, Bo, et al.. (2018). Robust multi-label transfer feature learning for early diagnosis of Alzheimer’s disease. Brain Imaging and Behavior. 13(1). 138–153. 49 indexed citations
5.
Cheng, Bo, et al.. (2017). The Analytical Method of Product Multi-dimensionality Form Elements for Kansei Engineering. DEStech Transactions on Engineering and Technology Research.
6.
Wang, Minhong, Bo Cheng, Juanjuan Chen, Neil Mercer, & Paul A. Kirschner. (2017). The use of web-based collaborative concept mapping to support group learning and interaction in an online environment. The Internet and Higher Education. 34. 28–40. 83 indexed citations
7.
Cheng, Bo, et al.. (2016). Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease. Neuroinformatics. 15(2). 115–132. 59 indexed citations
8.
Cheng, Bo, Mingxia Liu, Daoqiang Zhang, Brent C. Munsell, & Dinggang Shen. (2015). Domain Transfer Learning for MCI Conversion Prediction. IEEE Transactions on Biomedical Engineering. 62(7). 1805–1817. 132 indexed citations
9.
Cheng, Bo, et al.. (2015). Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging and Behavior. 9(4). 913–926. 70 indexed citations
10.
Jie, Biao, et al.. (2014). Manifold regularized multitask feature learning for multimodality disease classification. Human Brain Mapping. 36(2). 489–507. 116 indexed citations
11.
Jie, Biao, Daoqiang Zhang, Bo Cheng, & Dinggang Shen. (2013). Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease. Lecture notes in computer science. 16(Pt 1). 275–283. 35 indexed citations
12.
13.
Cheng, Bo, et al.. (2013). The Selection of Agile Development's Effort Estimation Factors Based on Principal Component Analysis. Advanced materials research. 748. 1229–1234. 3 indexed citations
14.
Cheng, Bo, Daoqiang Zhang, & Dinggang Shen. (2012). Domain Transfer Learning for MCI Conversion Prediction. Lecture notes in computer science. 15(Pt 1). 82–90. 42 indexed citations
15.
Wang, Minhong, et al.. (2011). Knowledge Visualization for Self-Regulated Learning.. Educational Technology & Society. 14(3). 28–42. 49 indexed citations
16.
Cheng, Bo, Minhong Wang, Stephen J.H. Yang, Kinshuk Kinshuk, & Jun Peng. (2011). Acceptance of competency-based workplace e-learning systems: Effects of individual and peer learning support. Computers & Education. 57(1). 1317–1333. 90 indexed citations
17.
Cheng, Bo, et al.. (2010). Mining and visualizing domain knowledge in e-learning enabled workforce development using co-occurrence analysis. The HKU Scholars Hub (University of Hong Kong). 1 indexed citations
18.
Cheng, Bo & Guangyuan Liu. (2008). Emotion Recognition from Surface EMG Signal Using Wavelet Transform and Neural Network. 1363–1366. 79 indexed citations
19.
Taniguchi, Tetsuo, et al.. (2003). Analysis of Behavior of Support to Steering Wheel for Average Driver in Straight Running. The Proceedings of the Transportation and Logistics Conference. 2003.12(0). 241–244. 1 indexed citations
20.
Cheng, Bo. (2002). Analysis of driver response to collision warning during car following. JSAE Review. 23(2). 231–237. 17 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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