Liangjie Hong

4.6k total citations · 2 hit papers
43 papers, 2.9k citations indexed

About

Liangjie Hong is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Liangjie Hong has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 21 papers in Artificial Intelligence and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Liangjie Hong's work include Recommender Systems and Techniques (23 papers), Complex Network Analysis Techniques (12 papers) and Topic Modeling (8 papers). Liangjie Hong is often cited by papers focused on Recommender Systems and Techniques (23 papers), Complex Network Analysis Techniques (12 papers) and Topic Modeling (8 papers). Liangjie Hong collaborates with scholars based in United States, United Kingdom and China. Liangjie Hong's co-authors include Brian D. Davison, Ovidiu Dan, Dawei Yin, Alexander J. Smola, Amr Ahmed, Siva Gurumurthy, Kostas Tsioutsiouliklis, Huan Liu, Lynne Edwards and Zhen‐Zhen Xue and has published in prestigious journals such as Advanced Materials, Journal of Abnormal Psychology and International Conference on Machine Learning.

In The Last Decade

Liangjie Hong

43 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Empirical study of topic modeling in Twitter

2010 733 citations Liangjie Hong, Brian D. Davison profile →
Predicting popular messages in Twitter

2011 382 citations Liangjie Hong, Brian D. Davison et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangjie Hong United States	22	1.7k	1.4k	833	405	304	43	2.9k
Qi He United States	21	1.9k 1.2×	1.7k 1.3×	1.3k 1.6×	424 1.0×	306 1.0×	64	3.6k
Huiji Gao United States	22	1.3k 0.8×	1.5k 1.1×	552 0.7×	568 1.4×	399 1.3×	51	3.2k
Ido Guy Israel	22	808 0.5×	1.3k 0.9×	525 0.6×	515 1.3×	258 0.8×	93	2.3k
Jasmine Novak United States	17	931 0.6×	890 0.6×	1.5k 1.8×	585 1.4×	332 1.1×	20	3.1k
Kalina Bontcheva United Kingdom	36	3.1k 1.9×	1.4k 1.0×	608 0.7×	1.4k 3.5×	234 0.8×	160	4.5k
Alan Ritter United States	28	4.4k 2.7×	880 0.6×	466 0.6×	324 0.8×	617 2.0×	71	5.2k
Jilin Chen United States	21	1.1k 0.6×	1.1k 0.8×	515 0.6×	452 1.1×	373 1.2×	64	2.6k
Fábio Crestani Switzerland	27	2.0k 1.2×	1.6k 1.2×	225 0.3×	441 1.1×	409 1.3×	238	3.3k
Miles Osborne United Kingdom	37	4.2k 2.5×	827 0.6×	577 0.7×	300 0.7×	546 1.8×	91	5.2k
Yanyan Lan China	25	2.2k 1.3×	1.2k 0.9×	288 0.3×	243 0.6×	545 1.8×	107	3.3k

Countries citing papers authored by Liangjie Hong

Since Specialization

Citations

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

Fields of papers citing papers by Liangjie Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjie Hong

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

Cao, Fangfang, Lulu Jin, Yong Gao, et al.. (2023). Engineering Clinically Relevant Probiotics with Switchable “Nano‐Promoter” and “Nano‐Effector” for Precision Tumor Therapy. Advanced Materials. 36(5). e2304257–e2304257. 27 indexed citations

2.

Hong, Liangjie & Mounia Lalmas. (2020). Tutorial on Online User Engagement. 3551–3552. 4 indexed citations

3.

Wang, Jianling, et al.. (2020). Time to Shop for Valentine's Day. 645–653. 26 indexed citations

4.

Hu, Diane, et al.. (2020). The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings. 454–460. 1 indexed citations

5.

Jiang, Hao, et al.. (2019). Understanding the Role of Style in E-commerce Shopping. 3112–3120. 6 indexed citations

6.

Hu, Diane, et al.. (2019). Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.. 7 indexed citations

7.

Lalmas, Mounia & Liangjie Hong. (2018). Tutorial on Metrics of User Engagement. 781–782. 8 indexed citations

8.

Zhao, Qian, Yue Shi, & Liangjie Hong. (2017). GB-CENT. 1311–1319. 17 indexed citations

9.

Wu, Qingyun, Hongning Wang, Liangjie Hong, & Yue Shi. (2017). Returning is Believing. 1927–1936. 39 indexed citations

10.

Chen, Ting, Yizhou Sun, Yue Shi, & Liangjie Hong. (2017). On Sampling Strategies for Neural Network-based Collaborative Filtering. 767–776. 139 indexed citations

11.

Qian, Mingjie, Liangjie Hong, Yue Shi, & Suju Rajan. (2015). Structured Sparse Regression for Recommender Systems. 1895–1898. 2 indexed citations

12.

Hong, Liangjie & Shuang-Hong Yang. (2013). Proceedings of the 1st workshop on User engagement optimization. 1 indexed citations

13.

Ahmed, Amr, Liangjie Hong, & Alexander J. Smola. (2013). Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. International Conference on Machine Learning. 1426–1434. 21 indexed citations

14.

Hong, Liangjie & Shuang-Hong Yang. (2013). The first workshop on user engagement optimization. 2559–2560. 1 indexed citations

15.

Hong, Liangjie, et al.. (2013). Academic network analysis. 324–333. 4 indexed citations

16.

Hong, Liangjie, et al.. (2013). Co-factorization machines. 557–566. 121 indexed citations

17.

Ahmed, Amr, Liangjie Hong, & Alexander J. Smola. (2013). Hierarchical geographical modeling of user locations from social media posts. 25–36. 66 indexed citations

18.

Yin, Dawei, et al.. (2010). A probabilistic model for personalized tag prediction. 959–968. 27 indexed citations

19.

Wang, Jian, Liangjie Hong, & Brian D. Davison. (2009). RSDC'09: Tag Recommendation Using Keywords and Association Rules.. 261–274. 9 indexed citations

20.

Avila, Matthew T., Olalla Robles, Liangjie Hong, et al.. (2006). Deficits on the continuous performance test within the schizophrenia spectrum and the mediating effects of family history of schizophrenia.. Journal of Abnormal Psychology. 115(4). 771–778. 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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