Kaixiang Mo

419 total citations
8 papers, 172 citations indexed

About

Kaixiang Mo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kaixiang Mo has authored 8 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kaixiang Mo's work include Speech and dialogue systems (3 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (3 papers). Kaixiang Mo is often cited by papers focused on Speech and dialogue systems (3 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (3 papers). Kaixiang Mo collaborates with scholars based in Hong Kong and China. Kaixiang Mo's co-authors include Qiang Yang, Erheng Zhong, Ben Tan, Shuangyin Li, Jiajun Li, Yu Zhang, Yong Li, Lei Xiao, Jie Jiang and Yu Zhang and has published in prestigious journals such as Pervasive and Mobile Computing, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Kaixiang Mo

8 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaixiang Mo Hong Kong	8	103	38	33	32	29	8	172
Sarah Alhumoud Saudi Arabia	11	213 2.1×	23 0.6×	52 1.6×	10 0.3×	7 0.2×	29	313
Konstantin Bauman United States	6	150 1.5×	10 0.3×	153 4.6×	12 0.4×	21 0.7×	18	229
Enrico Palumbo Italy	8	163 1.6×	7 0.2×	133 4.0×	22 0.7×	33 1.1×	18	250
Michal Barla Slovakia	9	96 0.9×	37 1.0×	90 2.7×	8 0.3×	33 1.1×	14	206
Shahpar Yakhchi Australia	8	72 0.7×	11 0.3×	115 3.5×	12 0.4×	20 0.7×	10	193
Fabian Bohnert Australia	7	157 1.5×	9 0.2×	92 2.8×	10 0.3×	47 1.6×	16	243
Seong-Yoon Shin South Korea	6	29 0.3×	15 0.4×	20 0.6×	10 0.3×	28 1.0×	72	172
Xin Rong United States	4	46 0.4×	11 0.3×	33 1.0×	6 0.2×	10 0.3×	9	87
Jinze Wu China	9	207 2.0×	89 2.3×	73 2.2×	4 0.1×	23 0.8×	19	244
Qinglong Li South Korea	10	94 0.9×	23 0.6×	107 3.2×	5 0.2×	47 1.6×	32	292

Countries citing papers authored by Kaixiang Mo

Since Specialization

Citations

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

Fields of papers citing papers by Kaixiang Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixiang Mo

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

8 of 8 papers shown

1.

Li, Shuangyin, Yu Zhang, Rong Pan, & Kaixiang Mo. (2020). Adaptive Probabilistic Word Embedding. 651–661. 8 indexed citations

2.

Peng, Zhenhui, Kaixiang Mo, Zhu Xiao-gang, et al.. (2020). Understanding User Perceptions of Robot's Delay, Voice Quality-Speed Trade-off and GUI during Conversation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 9 indexed citations

3.

Mo, Kaixiang, Yu Zhang, Shuangyin Li, Jiajun Li, & Qiang Yang. (2018). Personalizing a Dialogue System With Transfer Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 39 indexed citations

4.

Mo, Kaixiang, Shuangyin Li, Yu Zhang, Jiajun Li, & Qiang Yang. (2016). Personalizing a Dialogue System with Transfer Learning.. arXiv (Cornell University). 9 indexed citations

5.

Mo, Kaixiang, et al.. (2015). Image feature learning for cold start problem in display advertising. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2015. 3728–3734. 22 indexed citations

6.

Zhong, Erheng, Ben Tan, Kaixiang Mo, & Qiang Yang. (2013). User demographics prediction based on mobile data. Pervasive and Mobile Computing. 9(6). 823–837. 36 indexed citations

7.

Mo, Kaixiang, Erheng Zhong, & Qiang Yang. (2013). Cross-task crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 677–685. 37 indexed citations

8.

Mo, Kaixiang, Ben Tan, Erheng Zhong, & Qiang Yang. (2012). Report of Task 3: Your Phone Understands You. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 12 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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