Linfeng Du

415 total citations · 1 hit paper
5 papers, 305 citations indexed

About

Linfeng Du is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Linfeng Du has authored 5 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Information Systems. Recurrent topics in Linfeng Du's work include Advanced Graph Neural Networks (3 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (1 paper). Linfeng Du is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Topic Modeling (3 papers) and Recommender Systems and Techniques (1 paper). Linfeng Du collaborates with scholars based in China, United States and Australia. Linfeng Du's co-authors include Md Zakirul Alam Bhuiyan, Hongyuan Ma, Hao Peng, Lihong Wang, Philip S. Yu, Senzhang Wang, Zeyu Yang, Bowen Du, Jianwei Liu and Jibing Gong and has published in prestigious journals such as IEEE Access, Information Sciences and Knowledge-Based Systems.

In The Last Decade

Linfeng Du

5 papers receiving 299 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.

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

2020 243 citations Hao Peng, Bowen Du et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linfeng Du China	4	155	129	106	63	43	5	305
Qiran Gong China	4	186 1.2×	148 1.1×	190 1.8×	50 0.8×	50 1.2×	4	420
Hao Miao China	11	224 1.4×	132 1.0×	105 1.0×	49 0.8×	27 0.6×	24	367
Hanhan Deng China	3	206 1.3×	136 1.1×	65 0.6×	81 1.3×	11 0.3×	6	267
Zulong Diao China	7	230 1.5×	189 1.5×	121 1.1×	103 1.6×	22 0.5×	17	407
Zhixiang He China	9	128 0.8×	101 0.8×	52 0.5×	78 1.2×	78 1.8×	20	315
Mohammad Aslani Sweden	7	169 1.1×	109 0.8×	55 0.5×	209 3.3×	23 0.5×	9	308
Leixiao Li China	8	176 1.1×	110 0.9×	58 0.5×	125 2.0×	73 1.7×	41	334
Zhenyu Shan China	10	92 0.6×	61 0.5×	66 0.6×	42 0.7×	19 0.4×	26	267
Christian Bockermann Germany	7	95 0.6×	106 0.8×	56 0.5×	27 0.4×	44 1.0×	11	257

Countries citing papers authored by Linfeng Du

Since Specialization

Citations

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

Fields of papers citing papers by Linfeng Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linfeng Du

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

5 of 5 papers shown

1.

Yang, Cheng‐Hong, Linfeng Du, Hao Peng, et al.. (2022). HiGIL: Hierarchical Graph Inference Learning for Fact Checking. 329–337. 1 indexed citations

2.

Peng, Hao, Bowen Du, Md Zakirul Alam Bhuiyan, et al.. (2020). Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Information Sciences. 521. 277–290. 243 indexed citations breakdown →

3.

Gong, Jibing, Hongyuan Ma, Qi Teng, et al.. (2020). Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification. IEEE Access. 8. 30885–30896. 45 indexed citations

4.

Li, Chen, Xutan Peng, Shanghang Zhang, et al.. (2020). Modeling relation paths for knowledge base completion via joint adversarial training. Knowledge-Based Systems. 201-202. 105865–105865. 4 indexed citations

5.

Gong, Jibing, et al.. (2019). Hybrid Deep Neural Networks for Friend Recommendations in Edge Computing Environment. IEEE Access. 8. 10693–10706. 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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