Xiaodong He

746 total citations · 1 hit paper
7 papers, 435 citations indexed

About

Xiaodong He is a scholar working on Artificial Intelligence, Molecular Biology and Aerospace Engineering. According to data from OpenAlex, Xiaodong He has authored 7 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Aerospace Engineering. Recurrent topics in Xiaodong He's work include Topic Modeling (2 papers), Mast cells and histamine (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Xiaodong He is often cited by papers focused on Topic Modeling (2 papers), Mast cells and histamine (1 paper) and Bayesian Modeling and Causal Inference (1 paper). Xiaodong He collaborates with scholars based in China and United States. Xiaodong He's co-authors include Bowen Zhou, Jinbo Bi, Yun Tang, Jing Huang, Chao Shang, Jing Huang, Peng Qi, Guangtao Wang, Rex Ying and Meng Fang and has published in prestigious journals such as DNA Research, HLA and International Journal of Electronics Letters.

In The Last Decade

Xiaodong He

7 papers receiving 426 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.

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

2019 370 citations Chao Shang, Yun Tang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaodong He China	4	386	96	71	52	47	7	435
Charu Sharma India	4	328 0.8×	67 0.7×	54 0.8×	40 0.8×	50 1.1×	9	369
Deepak Nathani United States	5	360 0.9×	70 0.7×	53 0.7×	44 0.8×	50 1.1×	6	399
Jatin Chauhan India	3	344 0.9×	70 0.7×	52 0.7×	38 0.7×	50 1.1×	10	376
Zhanqiu Zhang China	4	300 0.8×	71 0.7×	47 0.7×	42 0.8×	43 0.9×	5	324
Siwei Rao China	3	343 0.9×	104 1.1×	36 0.5×	43 0.8×	30 0.6×	6	364
Mojtaba Nayyeri Germany	10	279 0.7×	55 0.6×	55 0.8×	38 0.7×	29 0.6×	25	305
Octavian-Eugen Ganea Switzerland	6	419 1.1×	125 1.3×	43 0.6×	38 0.7×	16 0.3×	9	439
Sebastijan Dumančić Belgium	6	393 1.0×	97 1.0×	97 1.4×	53 1.0×	16 0.3×	12	428
David Vickrey United States	8	337 0.9×	48 0.5×	53 0.7×	30 0.6×	8 0.2×	10	409
Cícero Nogueira dos Santos United States	11	559 1.4×	26 0.3×	125 1.8×	59 1.1×	18 0.4×	38	613

Countries citing papers authored by Xiaodong He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaodong He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong He

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

7 of 7 papers shown

1.

He, Xiaodong, et al.. (2024). A Novel HLA‐DPA1 Allele, HLA‐DPA1*01:204, Was Identified by Next‐Generation Sequencing. HLA. 104(4). e15710–e15710. 1 indexed citations

2.

Qi, Peng, Guangtao Wang, Rex Ying, et al.. (2021). Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. 36 indexed citations

3.

Shang, Chao, Yun Tang, Jing Huang, et al.. (2019). End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3060–3067. 370 indexed citations breakdown →

4.

He, Xiaodong, et al.. (2014). Two-dimensional frequency modulation jamming to SAR based on ship-borne jammer. International Journal of Electronics Letters. 4(2). 141–157. 5 indexed citations

5.

He, Xiaodong, et al.. (2014). Design and Implementation of Multi-channel Wideband and RF Signal Generator. 4. 1566–1569. 3 indexed citations

6.

Nie, Qing, Meng Fang, Xiaojun Jia, et al.. (2011). Analysis of Muscle and Ovary Transcriptome of Sus scrofa: Assembly, Annotation and Marker Discovery. DNA Research. 18(5). 343–351. 19 indexed citations

7.

Liu, Jian, et al.. (1999). Study on tone classification of Chinese continuous speech in speech recognition system. 891–894. 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.

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