Hong Mo

422 total citations
7 papers, 246 citations indexed

About

Hong Mo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Hong Mo has authored 7 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Hong Mo's work include Fire Detection and Safety Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). Hong Mo is often cited by papers focused on Fire Detection and Safety Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). Hong Mo collaborates with scholars based in China and Finland. Hong Mo's co-authors include Qiang Li, Xiong Zhang, Wenbo Zhang, Wen Zheng, Wenqi Ren, Jianchao Tan, Lei Wang, Cheng Yang, Xiong Zhang and Zhong Zhou and has published in prestigious journals such as IEEE Transactions on Image Processing.

In The Last Decade

Hong Mo

6 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Mo China	5	208	90	65	61	28	7	246
Fu Xiong Singapore	6	222 1.1×	93 1.0×	62 1.0×	40 0.7×	30 1.1×	6	252
A. Jain United States	4	405 1.9×	56 0.6×	43 0.7×	55 0.9×	18 0.6×	5	431
Xiangyang Ji China	7	161 0.8×	59 0.7×	40 0.6×	15 0.2×	23 0.8×	18	194
Denis Tomè United Kingdom	4	207 1.0×	27 0.3×	27 0.4×	41 0.7×	9 0.3×	5	265
Zhiao Huang China	7	261 1.3×	57 0.6×	51 0.8×	121 2.0×	22 0.8×	14	353
Ye Zheng China	8	92 0.4×	36 0.4×	39 0.6×	89 1.5×	8 0.3×	13	195
Ryo Hachiuma Japan	8	113 0.5×	22 0.2×	20 0.3×	55 0.9×	13 0.5×	33	179
Hongsheng Li China	8	158 0.8×	15 0.2×	23 0.4×	83 1.4×	6 0.2×	23	269
Sławomir Tadeja United Kingdom	9	115 0.6×	89 1.0×	17 0.3×	13 0.2×	16 0.6×	36	198

Countries citing papers authored by Hong Mo

Since Specialization

Citations

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

Fields of papers citing papers by Hong Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Mo. A scholar is included among the top collaborators of Hong Mo 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 Hong Mo. Hong Mo 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.

Liu, Wenbin, Min Zhou, Hong Mo, & Shili Zhao. (2024). A Multimodal Breast Cancer Diagnosis Approach Based on EfficientNet and Hybrid Feature Selection. 7339–7343.

2.

Zhao, Shili, et al.. (2023). Path Planning of Mobile Robot Based on Improved Artificial Potential Field Algorithm. 57. 5625–5630. 1 indexed citations

3.

Mo, Hong, et al.. (2022). Attention-Guided Collaborative Counting. IEEE Transactions on Image Processing. 31. 6306–6319. 13 indexed citations

4.

Zhang, Xiong, Hong Mo, Jianchao Tan, et al.. (2021). DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. 13951–13962. 73 indexed citations

5.

Mo, Hong, et al.. (2020). Background Noise Filtering and Distribution Dividing for Crowd Counting. IEEE Transactions on Image Processing. 29. 8199–8212. 20 indexed citations

6.

Mo, Hong, et al.. (2020). Attention Guided Region Division for Crowd Counting. 11 indexed citations

7.

Zhang, Xiong, Qiang Li, Hong Mo, Wenbo Zhang, & Wen Zheng. (2019). End-to-End Hand Mesh Recovery From a Monocular RGB Image. 2354–2364. 128 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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