Weining Hao

619 citations
16 papers · 485 · 1 hit paper · h-index 5

Impact in

Papers in

Weining Hao

15 papers receiving 472 citations

Weining Hao's Hit Papers

A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction 2021 · 181 citations
1810+1+3Years since publication50100150

Peers

Weining Hao
Comparison fields: 5 of 84
  • Transportation 59
  • Building and Construction 91
  • Cell Biology 98
  • Plant Science 199
  • Biochemistry 29
Replace Alonso González with:
Alonso González Spain
Pengcheng Wang China
Zhiwei Cheng China
Ling Qiu China
José Enrique Botello-Álvarez Mexico
Yanqiu Cheng China
Bingzhi Chen China
Yanbo Liu China
Yiqing Liu China
Harshita Singh India
Weining Hao relative to Alonso González Spain Alonso González's profile →
Citations per field
00.5×7.4×
Alonso González · 1×
Citations per year

Countries citing papers authored by Weining Hao

Since Specialization
Citations

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

Fields of papers citing papers by Weining Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weining Hao, 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 Weining Hao Line = papers co-authored together Weining Hao links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Hit paper breakdown →
2021181
2 201094
3 201077
4 201370
5 201141
6 20254
7 20194
8 20183
9 20102
10 20202
11 20082
12 20182
13
Co-toxicity of Tea Saponin and Mancozeb against Colletotrichum capsici
20101
14 20181
15 20211
16 20230

About Weining Hao

Weining Hao is a scholar working on Plant Science, Industrial and Manufacturing Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Strategy and Management, having authored 16 papers that have together received 485 indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (4 papers), Postharvest Quality and Shelf Life Management (2 papers), Transportation Planning and Optimization (2 papers), Transport and Economic Policies (2 papers), Mycotoxins in Agriculture and Food (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Railway Engineering and Dynamics (2 papers). The work is most often cited by research in Transportation (59 citations), Building and Construction (91 citations), Cell Biology (98 citations), Plant Science (199 citations) and Biochemistry (29 citations). Weining Hao has collaborated with scholars based in China, Switzerland and Netherlands. Frequent co-authors include Meiying Hu, Muhammad Rizwan‐ul‐Haq, Sheng Dong, Ke Wang, Changxi Ma, Guohua Zhong, Jianjun Luo, Shaohua Chen, Hui Li and Liu Yang. Their work appears in journals such as Postharvest Biology and Technology, Cybersecurity, Archives of Insect Biochemistry and Physiology, Symmetry and Physica A Statistical Mechanics and its Applications.

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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