Guohui Ling

669 total citations · 1 hit paper
8 papers, 389 citations indexed

About

Guohui Ling is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Guohui Ling has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Guohui Ling's work include Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (4 papers) and Recommender Systems and Techniques (3 papers). Guohui Ling is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (4 papers) and Recommender Systems and Techniques (3 papers). Guohui Ling collaborates with scholars based in China, Singapore and United States. Guohui Ling's co-authors include Chonggang Song, Xiangnan He, Fuli Feng, Yongdong Zhang, Yang Zhang, Tianxin Wei, Zibin Zheng, Fanghua Ye, Rong-Hua Li and Tan Jin and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Guohui Ling

8 papers receiving 381 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.

Causal Intervention for Leveraging Popularity Bias in Recommendation

2021 239 citations Yang Zhang, Fuli Feng et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guohui Ling China	6	243	241	101	92	55	8	389
Chonggang Song China	7	234 1.0×	259 1.1×	107 1.1×	100 1.1×	44 0.8×	12	408
Xuezhi Cao China	10	300 1.2×	241 1.0×	71 0.7×	58 0.6×	39 0.7×	21	408
Jorge Castro Spain	7	105 0.4×	211 0.9×	66 0.7×	46 0.5×	30 0.5×	11	276
Augusto Pucci Italy	5	209 0.9×	266 1.1×	31 0.3×	54 0.6×	55 1.0×	8	325
Zhiping Gu China	7	269 1.1×	379 1.6×	86 0.9×	22 0.2×	49 0.9×	9	413
Tong Man China	4	356 1.5×	289 1.2×	62 0.6×	128 1.4×	33 0.6×	6	424
Jiankai Sun United States	9	149 0.6×	175 0.7×	46 0.5×	37 0.4×	29 0.5×	12	250
Ziwei Fan China	11	396 1.6×	437 1.8×	103 1.0×	25 0.3×	63 1.1×	37	570
Bhaskar Mehta Germany	7	300 1.2×	473 2.0×	79 0.8×	54 0.6×	126 2.3×	12	542
Cane Wing-ki Leung Hong Kong	12	250 1.0×	226 0.9×	47 0.5×	120 1.3×	39 0.7×	20	466

Countries citing papers authored by Guohui Ling

Since Specialization

Citations

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

Fields of papers citing papers by Guohui Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Ling

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

He, Xiangnan, Yang Zhang, Fuli Feng, et al.. (2022). Addressing Confounding Feature Issue for Causal Recommendation. ACM Transactions on Information Systems. 41(3). 1–23. 35 indexed citations

2.

Feng, Fuli, Qifan Wang, Xiangnan He, et al.. (2021). CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3500–3511. 19 indexed citations

3.

Zhang, Yang, Fuli Feng, Xiangnan He, et al.. (2021). Causal Intervention for Leveraging Popularity Bias in Recommendation. arXiv (Cornell University). 11–20. 239 indexed citations breakdown →

4.

Song, Chonggang, Qian Lin, Guohui Ling, et al.. (2020). LoCEC: Local Community-based Edge Classification in Large Online Social Networks. 1689–1700. 5 indexed citations

5.

Ye, Fanghua, Jiahao Liu, Chuan Chen, et al.. (2018). Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach. IEEE Access. 6. 47240–47257. 22 indexed citations

6.

Zheng, Zibin, Fanghua Ye, Rong-Hua Li, Guohui Ling, & Tan Jin. (2017). Finding weighted k-truss communities in large networks. Information Sciences. 417. 344–360. 60 indexed citations

7.

Liu, Jiahao, Youyong Li, Guohui Ling, Rong-Hua Li, & Zibin Zheng. (2016). Community Detection in Location-Based Social Networks: An Entropy-Based Approach. 452–459. 8 indexed citations

8.

Bai, Hua, et al.. (2015). A common genetic variant as an effect modifier for primary angle closure glaucoma.. PubMed. 8(1). 883–9. 1 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.

Explore authors with similar magnitude of impact