Haojie Pan

48 total papers · 969 total citations
28 papers, 618 citations indexed

About

Haojie Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Haojie Pan has authored 28 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Haojie Pan's work include Topic Modeling (12 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Haojie Pan is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Haojie Pan collaborates with scholars based in China, Hong Kong and United States. Haojie Pan's co-authors include Jiazhang Lian, Jianyun Liu, Yangqiu Song, Shiping Wang, Jianmao Yang, Xin Liu, Rui Gao, Hongming Zhang, Cane Wing-ki Leung and Zhongjian Li and has published in prestigious journals such as Chemical Engineering Journal, Journal of Materials Chemistry A and IEEE Access.

In The Last Decade

Haojie Pan

26 papers receiving 605 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haojie Pan	214	144	117	101	90	28	618
Leonel Lagos	71 0.3×	139 1.0×	50 0.4×	57 0.6×	18 0.2×	51	631
Yongjuan Wang	109 0.5×	98 0.7×	52 0.4×	25 0.2×	93 1.0×	51	551
Jiapeng Li	84 0.4×	165 1.1×	168 1.4×	27 0.3×	55 0.6×	30	634
Xiangyu Duan	261 1.2×	133 0.9×	26 0.2×	49 0.5×	18 0.2×	49	602
Tao Cheng	24 0.1×	70 0.5×	94 0.8×	50 0.5×	20 0.2×	33	675
Jingjing Xiong	24 0.1×	110 0.8×	90 0.8×	26 0.3×	32 0.4×	45	531
Can Zhu	116 0.5×	135 0.9×	195 1.7×	17 0.2×	26 0.3×	46	620
Wu Wen	41 0.2×	214 1.5×	66 0.6×	54 0.5×	13 0.1×	58	635
Mengyuan Zhang	91 0.4×	166 1.2×	152 1.3×	19 0.2×	23 0.3×	45	646
Shengli Jiang	24 0.1×	158 1.1×	192 1.6×	12 0.1×	64 0.7×	39	691

Countries citing papers authored by Haojie Pan

Since Specialization

Citations

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

Fields of papers citing papers by Haojie Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haojie Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Haojie Pan. A scholar is included among the top collaborators of Haojie Pan 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 Haojie Pan. Haojie Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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