Keyi He

513 total citations · 1 hit paper
8 papers, 349 citations indexed

About

Keyi He is a scholar working on Soil Science, Molecular Biology and Environmental Engineering. According to data from OpenAlex, Keyi He has authored 8 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Soil Science, 2 papers in Molecular Biology and 2 papers in Environmental Engineering. Recurrent topics in Keyi He's work include Soil Carbon and Nitrogen Dynamics (4 papers), Soil Geostatistics and Mapping (2 papers) and Forest Management and Policy (1 paper). Keyi He is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (4 papers), Soil Geostatistics and Mapping (2 papers) and Forest Management and Policy (1 paper). Keyi He collaborates with scholars based in China, United States and Canada. Keyi He's co-authors include Biao Zhu, Jiguang Feng, Qiufang Zhang, Mengguang Han, Yanhui Hou, Ying Chen, Xiao Chen, Jingxue Zhao, Huifeng Hu and Yawen Shen and has published in prestigious journals such as Global Change Biology, Plant and Soil and Geoderma.

In The Last Decade

Keyi He

7 papers receiving 342 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.

Changes in plant inputs alter soil carbon and microbial communities in forest ecosystems

2022 237 citations Jiguang Feng, Keyi He et al. Global Change Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keyi He China	5	286	172	54	49	46	8	349
Xianlei Fan China	10	208 0.7×	164 1.0×	55 1.0×	46 0.9×	36 0.8×	18	330
Qinlu Li China	8	165 0.6×	105 0.6×	52 1.0×	72 1.5×	41 0.9×	9	281
Zhaolin Sun China	12	285 1.0×	186 1.1×	94 1.7×	32 0.7×	50 1.1×	20	409
Björn Erhagen Sweden	8	199 0.7×	136 0.8×	40 0.7×	50 1.0×	57 1.2×	9	316
Xin Xiong China	10	166 0.6×	100 0.6×	46 0.9×	46 0.9×	29 0.6×	17	265
Shuohong Zhang China	8	204 0.7×	138 0.8×	61 1.1×	22 0.4×	33 0.7×	10	286
Steve Kwatcho Kengdo Germany	11	220 0.8×	123 0.7×	117 2.2×	38 0.8×	48 1.0×	17	350
Chunyan Long China	10	281 1.0×	195 1.1×	83 1.5×	23 0.5×	76 1.7×	20	420
Changpeng Sang China	9	295 1.0×	198 1.2×	107 2.0×	35 0.7×	75 1.6×	13	408
Bin Niu China	10	154 0.5×	184 1.1×	69 1.3×	46 0.9×	42 0.9×	16	364

Countries citing papers authored by Keyi He

Since Specialization

Citations

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

Fields of papers citing papers by Keyi He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyi He

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

8 of 8 papers shown

1.

Tan, Jianbin, et al.. (2024). Lightweight plant disease recognition model based on small datasets in complex contexts. Enterprise Information Systems. 18(11). 1 indexed citations

2.

Shen, Yawen, et al.. (2023). Impacts of aboveground litter and belowground roots on soil greenhouse gas emissions: Evidence from a DIRT experiment in a pine plantation. Agricultural and Forest Meteorology. 343. 109792–109792. 4 indexed citations

3.

Tan, Jianbin, et al.. (2023). Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure Diagrams. International Journal of Software Science and Computational Intelligence. 15(1). 1–16.

4.

Wang, Cuina, et al.. (2023). Comparative proteomics analyses of whey proteins from breastmilk collected from two ethnic groups in northeast China. Food Chemistry X. 17. 100568–100568. 4 indexed citations

5.

Feng, Jiguang, Keyi He, Qiufang Zhang, Mengguang Han, & Biao Zhu. (2022). Changes in plant inputs alter soil carbon and microbial communities in forest ecosystems. Global Change Biology. 28(10). 3426–3440. 237 indexed citations breakdown →

6.

He, Keyi, et al.. (2022). Pharmacokinetic profile and sub-chronic toxicity of coenzyme Q10 loaded whey protein nanoparticles. Food Bioscience. 52. 102347–102347. 1 indexed citations

7.

Hou, Yanhui, Ying Chen, Xiao Chen, Keyi He, & Biao Zhu. (2019). Changes in soil organic matter stability with depth in two alpine ecosystems on the Tibetan Plateau. Geoderma. 351. 153–162. 65 indexed citations

8.

Hou, Yanhui, Keyi He, Ying Chen, et al.. (2019). Changes of soil organic matter stability along altitudinal gradients in Tibetan alpine grassland. Plant and Soil. 458(1-2). 21–40. 37 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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