Saike He

412 total citations
31 papers, 242 citations indexed

About

Saike He is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Saike He has authored 31 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 9 papers in Sociology and Political Science. Recurrent topics in Saike He's work include Topic Modeling (13 papers), Sentiment Analysis and Opinion Mining (10 papers) and Complex Network Analysis Techniques (10 papers). Saike He is often cited by papers focused on Topic Modeling (13 papers), Sentiment Analysis and Opinion Mining (10 papers) and Complex Network Analysis Techniques (10 papers). Saike He collaborates with scholars based in China, United States and Spain. Saike He's co-authors include Daniel Zeng, Xiaolong Zheng, Chuan Luo, Zhu Zhang, Changliang Li, Hongwei Hao, Gaowei Wu, Bo Xu, Guanhua Tian and Luwen Huangfu and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Information & Management.

In The Last Decade

Saike He

29 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saike He China	8	113	74	32	24	24	31	242
Antonio Feraco India	3	190 1.7×	51 0.7×	13 0.4×	7 0.3×	44 1.8×	6	265
Chris Eckl United Kingdom	6	174 1.5×	25 0.3×	18 0.6×	6 0.3×	25 1.0×	8	241
Hui Yin China	8	139 1.2×	52 0.7×	9 0.3×	16 0.7×	45 1.9×	19	257
Abeer Aldayel Saudi Arabia	5	144 1.3×	76 1.0×	48 1.5×	7 0.3×	39 1.6×	8	248
Amaç Herdağdelen Italy	8	100 0.9×	46 0.6×	20 0.6×	3 0.1×	46 1.9×	15	210
Tanmay Basu India	8	154 1.4×	27 0.4×	17 0.5×	8 0.3×	64 2.7×	16	273
Changtao Zhong United Kingdom	7	83 0.7×	87 1.2×	85 2.7×	8 0.3×	86 3.6×	12	272
Mariano G. Beiró Argentina	6	33 0.3×	57 0.8×	67 2.1×	11 0.5×	7 0.3×	14	201
Aleksandr Farseev Singapore	10	132 1.2×	50 0.7×	46 1.4×	9 0.4×	139 5.8×	21	276

Countries citing papers authored by Saike He

Since Specialization

Citations

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

Fields of papers citing papers by Saike He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saike He

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

20 of 20 papers shown

1.

He, Saike, et al.. (2024). Modeling the co-diffusion of competing memes in online social networks. Decision Support Systems. 187. 114324–114324. 1 indexed citations

2.

Sun, Yawei, et al.. (2024). Interpretability in Sentiment Analysis: A Self-Supervised Approach to Sentiment Cue Extraction. Applied Sciences. 14(7). 2737–2737.

3.

Sun, Yawei, Saike He, Xu Han, & Ruihua Zhang. (2023). A New Model for Emotion-Driven Behavior Extraction from Text. Applied Sciences. 13(15). 8700–8700. 1 indexed citations

4.

Huangfu, Luwen, et al.. (2021). COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling. Journal of Medical Internet Research. 24(2). e31726–e31726. 32 indexed citations

5.

Li, Changliang, et al.. (2019). Sentiment Analysis Based on Background Knowledge Attention. 206–208. 1 indexed citations

6.

He, Saike, Hongtao Yang, Xiaolong Zheng, et al.. (2019). Massive Meme Identification and Popularity Analysis in Geopolitics. 116–121. 1 indexed citations

7.

Li, Changliang, et al.. (2019). Pre-trained Contextualized Representation for Chinese Conversation Topic Classification. abs 1609 8144. 122–127. 4 indexed citations

8.

He, Saike, et al.. (2019). Marketing Pattern Risks Detection Based on Semi-Supervised Learning. 229–229. 4 indexed citations

9.

He, Saike, et al.. (2019). A Comprehensive Survey on Image Aesthetic Quality Assessment. 294–299. 9 indexed citations

10.

Liang, Yunji, Jian Kang, Zhiwen Yu, et al.. (2019). Leverage Temporal Convolutional Network for the Representation Learning of URLs. 74–79. 4 indexed citations

11.

He, Saike, Xiaolong Zheng, Daniel Zeng, Chuan Luo, & Zhu Zhang. (2016). Exploring Entrainment Patterns of Human Emotion in Social Media. PLoS ONE. 11(3). e0150630–e0150630. 65 indexed citations

12.

Chung, Wingyan, Saike He, & Daniel Zeng. (2015). eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak. Journal of the Association for Information Systems. 6 indexed citations

13.

He, Saike, Xiaolong Zheng, & Daniel Zeng. (2015). A model-free scheme for meme ranking in social media. Decision Support Systems. 81. 1–11. 17 indexed citations

14.

Chung, Wingyan, Saike He, Daniel Zeng, & Victor Benjamin. (2015). Emotion extraction and entrainment in social media: The case of U.S. immigration and border security. 27. 55–60.

15.

He, Saike, Xiaolong Zheng, Daniel Zeng, et al.. (2014). Characterizing emotion entrainment in social media. 298. 642–648. 2 indexed citations

16.

Zhang, Zhu, Xiaolong Zheng, Daniel Zeng, et al.. (2013). Discovering seasonal patterns of smoking behavior using online search information. 6. 371–373. 4 indexed citations

17.

He, Saike, et al.. (2010). Apply Normalized Accessor Variety in Chinese Word Segmentation. Zhongwen xinxi xuebao. 24(1). 1 indexed citations

18.

He, Saike, et al.. (2009). Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing. Pacific Asia Conference on Language, Information, and Computation. 180–189. 1 indexed citations

19.

Dong, Yuan, et al.. (2008). Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields. International Joint Conference on Natural Language Processing. 90–93. 16 indexed citations

20.

Xu, Wei, et al.. (2007). Using Non-Local Features to Improve Named Entity Recognition Recall. Waseda University Repository (Waseda University). 303–310. 5 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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