Jinze Bai

840 total citations
4 papers, 183 citations indexed

About

Jinze Bai is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jinze Bai has authored 4 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Jinze Bai's work include Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (1 paper). Jinze Bai is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (1 paper). Jinze Bai collaborates with scholars based in China, Australia and United States. Jinze Bai's co-authors include Junshuai Song, Chang Zhou, Xiaofei Liu, Jun Gao, Jun Gao, Zhao Li, Ji Zhang, Jialin Wang, Ji Zhang and Jialin Wang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jinze Bai

4 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinze Bai China	3	154	118	50	37	19	4	183
Gabriel de Souza Pereira Moreira United States	7	185 1.2×	144 1.2×	47 0.9×	38 1.0×	9 0.5×	18	220
Chenyi Lei China	9	181 1.2×	175 1.5×	103 2.1×	28 0.8×	15 0.8×	18	266
Teng Xiao China	9	176 1.1×	182 1.5×	47 0.9×	66 1.8×	9 0.5×	17	259
Wu-Jun Li China	5	123 0.8×	135 1.1×	66 1.3×	17 0.5×	9 0.5×	12	220
Biao Li China	8	161 1.0×	130 1.1×	56 1.1×	75 2.0×	6 0.3×	13	220
Shaoyun Shi China	9	134 0.9×	220 1.9×	37 0.7×	31 0.8×	7 0.4×	15	273
Fuyu Lv China	7	151 1.0×	134 1.1×	53 1.1×	33 0.9×	10 0.5×	10	194
Zhichao Feng China	3	230 1.5×	187 1.6×	55 1.1×	58 1.6×	25 1.3×	6	260
Deqing Yang China	9	120 0.8×	177 1.5×	35 0.7×	28 0.8×	5 0.3×	34	232
Sarik Ghazarian United States	6	93 0.6×	137 1.2×	46 0.9×	13 0.4×	7 0.4×	11	202

Countries citing papers authored by Jinze Bai

Since Specialization

Citations

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

Fields of papers citing papers by Jinze Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinze Bai

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

4 of 4 papers shown

1.

Wang, Jialin, et al.. (2022). SAGES: Scalable Attributed Graph Embedding with Sampling for Unsupervised Learning. IEEE Transactions on Knowledge and Data Engineering. 1–1. 7 indexed citations

2.

Bai, Jinze, et al.. (2021). ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. 1540–1551. 3 indexed citations

3.

Song, Junshuai, Zhao Li, Chang Zhou, et al.. (2020). Co-Displayed Items Aware List Recommendation. IEEE Access. 8. 64591–64602. 1 indexed citations

4.

Zhou, Chang, et al.. (2018). ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 172 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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