De-Chang Yang

8.2k citations

15 papers · 3.6k indexed · 3 hit papers · h-index 10

Co-authors: Ge Gao Meng Yuqi Lei Kong Feng Tian Jinpu Jin Jingchu Luo Liping Wei Mei Hou
Topics: Genomics and Phylogenetic Studies (5 papers)RNA modifications and cancer (4 papers)Cancer-related molecular mechanisms research (4 papers)
Cited by: Plant Science Cancer Research Endocrinology
Journals: Nature Nucleic Acids Research Nature Communications
Partner nations: China United States

In The Last Decade

De-Chang Yang

13 papers receiving 3.6k 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.

PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants

2016 1.6k citations Jinpu Jin, Feng Tian et al. Nucleic Acids Research profile →
CPC2: a fast and accurate coding potential calculator based on sequence intrinsic features

2017 1000 citations Y. James Kang, De-Chang Yang et al. Nucleic Acids Research profile →
PlantRegMap: charting functional regulatory maps in plants

2019 715 citations Feng Tian, De-Chang Yang et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by De-Chang Yang

Since Specialization

Citations

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

Fields of papers citing papers by De-Chang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Chang Yang. 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 De-Chang Yang. The network helps show where De-Chang Yang may publish in the future.

Co-authorship network of co-authors of De-Chang Yang

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Prediction of Hall anchor penetration depth using machine learning models 2025 ·Ocean Engineering ·De-Chang Yang,Wenkai Wang,Minxi Zhang,Guoliang Yu	0
2	Systematic mining and quantification reveal the dominant contribution of non-HLA variations to acute graft-versus-host disease 2025 ·Cellular and Molecular Immunology ·Shuang Liang,Y. James Kang,Ming-Rui Huo,De-Chang Yang,Ling Min,(unknown),Yu Wang,Lan‐Ping Xu,Xiaohui Zhang,(unknown),Jingyi Jessica Li,Ning Wu,Ruoyang Liu,(unknown),Jiangying Liu,Ge Gao,Xiao‐Jun Huang	1
3	Genome-Wide Identification of Gene Loss Events Suggests Loss Relics as a Potential Source of Functional lncRNAs in Humans 2023 ·Molecular Biology and Evolution ·(unknown),Y. James Kang,Ke Lan,De-Chang Yang,Ge Gao	1
4	A lncRNA fine-tunes salicylic acid biosynthesis to balance plant immunity and growth 2022 ·Cell Host & Microbe ·(unknown),(unknown),Qi Li,Yuxin Cao,De-Chang Yang,Shasha Liu,Xiaokang Wang,(unknown),Yang Liu,Chenxi Ding,Yan Liu,Yong Li,Yao‐Wu Yuan,Ge Gao,Jinfeng Chen,Weiqiang Qian,Xiaoming Zhang	87
5	Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells 2021 ·Briefings in Bioinformatics ·Y. James Kang,Jingyi Li,Ke Lan,Shuai Jiang,De-Chang Yang,Mei Hou,Ge Gao	0
6	Global miRNA dosage control of embryonic germ layer specification 2021 ·Nature ·(unknown),(unknown),Li Ding,Ke Lan,De-Chang Yang,Mehdi Pirouz,Ye Qi,Jennie Ong,Ge Gao,Peng Du,Richard I. Gregory	36
7	Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST 2020 ·Nature Communications ·Zhi‐Jie Cao,Wei Lin,Lu Shen,De-Chang Yang,Ge Gao	84
8	AnnoLnc2: the one-stop portal to systematically annotate novel lncRNAs for human and mouse 2020 ·Nucleic Acids Research ·Ke Lan,De-Chang Yang,Yu Wang,Yang Ding,Ge Gao	43
9	PlantRegMap: charting functional regulatory maps in plantsbreakdown → 2019 ·Nucleic Acids Research ·Feng Tian,De-Chang Yang,Meng Yuqi,Jinpu Jin,Ge Gao	715
10	AutismKB 2.0: a knowledgebase for the genetic evidence of autism spectrum disorder 2018 ·Database ·Changhong Yang,Jiarui Li,Qixi Wu,Xiaoxu Yang,August Yue Huang,Yuehua Zhang,Adam Yongxin Ye,Yanmei Dou,Linlin Yan,Wei‐Zhen Zhou,Lei Kong,Meng Wang,Ai Chen,De-Chang Yang,Liping Wei	37
11	CPC2: a fast and accurate coding potential calculator based on sequence intrinsic featuresbreakdown → 2017 ·Nucleic Acids Research ·Y. James Kang,De-Chang Yang,Lei Kong,Mei Hou,Meng Yuqi,Liping Wei,Ge Gao	1000
12	LocExpress: a web server for efficiently estimating expression of novel transcripts 2016 ·BMC Genomics ·Mei Hou,Feng Tian,Shuai Jiang,Lei Kong,De-Chang Yang,Ge Gao	4
13	PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plantsbreakdown → 2016 ·Nucleic Acids Research ·Jinpu Jin,Feng Tian,De-Chang Yang,Meng Yuqi,Lei Kong,Jingchu Luo,Ge Gao	1606
14	ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes 2015 ·Nucleic Acids Research ·(unknown),Yan Lin,(unknown),De-Chang Yang,Wen Wei,Feng‐Biao Guo	21
15	Forecasting Hong Kong's Container Throughput with Approximate Least Squares Support Vector Machines 2007 ·World Congress on Engineering ·(unknown),De-Chang Yang	15

About De-Chang Yang

De-Chang Yang is a scholar working on Transplantation, Cancer Research and Biophysics, having authored 15 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Plant Science (2.1k citations), Cancer Research (725 citations) and Endocrinology (208 citations). De-Chang Yang has collaborated with scholars based in China and United States. Frequent co-authors include Ge Gao, Meng Yuqi, Lei Kong, Feng Tian, Jinpu Jin, Jingchu Luo, Liping Wei, Mei Hou, Y. James Kang and Lu Shen. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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