Haiming Li

2.4k citations
108 papers · 1.4k · 1 hit paper · h-index 20

Impact in

Papers in

Haiming Li

88 papers receiving 1.3k citations

Haiming Li's Hit Papers

Sustainable intensification of millet–pig agriculture in Neolithic North China 2022 · 58 citations
580+1+2Years since publication1020304050

Peers

Haiming Li
Comparison fields: 5 of 147
  • Paleontology 610
  • Geography, Planning and Development 424
  • Anthropology 318
  • Atmospheric Science 341
  • Archeology 17
Replace Richard Pearson with:
Richard Pearson United States
Beat Aeschlimann Switzerland
Christopher M. Stevenson United States
David Webster United States
Lee Clare United Kingdom
Linda Manzanilla Mexico
Xiaohong Wu China
Izumi Shimada United States
Chunhai Li China
Haiming Li relative to Richard Pearson United States Richard Pearson's profile →
Citations per field
00.5×7.4×
Richard Pearson · 1×
Citations per year

Countries citing papers authored by Haiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Haiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haiming Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haiming Li Line = papers co-authored together Haiming Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010113
2 202088
3 201779
4 201678
5
Sustainable intensification of millet–pig agriculture in Neolithic North China
Hit paper breakdown →
202258
6 202055
7 202152
8 202251
9 201743
10 201642
11 201540
12 201935
13 201834
14 201632
15 202127
16 201927
17 201723
18 202221
19 201521
20 201720

About Haiming Li

Haiming Li is a scholar working on Paleontology, Geography, Planning and Development, Atmospheric Science, Anthropology and Artificial Intelligence, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (33 papers), Pacific and Southeast Asian Studies (28 papers), Geology and Paleoclimatology Research (15 papers), Pleistocene-Era Hominins and Archaeology (9 papers), Photonic Crystals and Applications (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Metamaterials and Metasurfaces Applications (5 papers) and Agronomic Practices and Intercropping Systems (4 papers). The work is most often cited by research in Paleontology (610 citations), Geography, Planning and Development (424 citations), Anthropology (318 citations), Atmospheric Science (341 citations) and Archeology (17 citations). Haiming Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guanghui Dong, Fahu Chen, Yifu Cui, Yishi Yang, Lele Ren, Xinyi Liu, Guoke Chen, Fengwen Liu, Michael Storozum and Shanjia Zhang. Their work appears in journals such as Antiquity, The Holocene, Science China Earth Sciences, Radiocarbon and Quaternary International.

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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